Track : Integration of complex problems in the Supply Chain Management
Alessandro Agnetis, Christian Artigues, Jean-Charles Billaut
Integration of Supply Chain Planning and Intelligent Systems (p25g3): Enzo Morosini Frazzon, Carlos Eduardo Pereira, Bernd Hellingrath, Shimon Y. Nof
Track : Cutting and Scheduling
François Clautiaux, Mauricio C. de Souza, Hamza Gharsellaoui
Track : Supply Chain Analytics and Risk Control
Dmitry Ivanov, Alexandre Dolgui, Tadeusz Sawik, Dash Wu.
Track : Manufacturing Systems Design
Alexandre Dolgui, Semyon M Meerkov, Farouk Yalaoui.
Track : Optimization for transportation and vehicle routing problems
Christian Prins, Thibault Vidal.
Track : Systematic innovation and lean approach in engineering
Helena V. G. Navas, Virgílio A. Cruz Machado
List of the invited sessions :
System Identification for Manufacturing Control Application
Vladimir Lototsky (valot@yandex.ru), Natalia Bakhtadze (sung7@yandex.ru),
Kirill Chernyshov (may18.2005@gmail.com), Elena Jharko (zharko@ipu.rssi.ru)The SIMCA Invited Session is aimed to bring together scientists working in all branches of control theory to discuss, in the view of manufacturing control problems, issues relating to development of the theory and methodology of identification, corresponding mathematical problems, parameter and non-parametric identification, structure identification and expert analysis, problems of selection and data analysis, control systems with an identifier, identification in intelligent systems, simulation procedures and software for identification and modeling, cognitive issues of identification, verification and problems of software quality for complex systems, global network resources of support processes of identification, modeling, and control.
Key Words: Probabilistic & statistical models in industrial plant control; Industrial and applied mathematics for production; Modeling, simulation, control and monitoring of manufacturing processes
Code: 696yp
Dynamic optimization
Amir Nakib (nakib@u-pec.fr), El-Ghazali Talbi (talbi@lifl.fr)Recently dynamic optimization has attracted a growing interest, due to its practical relevance. Indeed, many real-world optimization problems are dynamic, i.e. their objective function changes over time: typical examples are in resource allocation, dynamic vehicle routing, and scheduling, object tracking. In other cases, the objective function is uncertain or noisy as a result of simulation/measurement errors or approximation errors. Moreover, the design variables or environmental conditions may also be perturbed or change over time. The objective of an efficient dynamic optimization algorithm is to locate the best solution, and to track the optimum in these uncertain environments.
This special session aims at bringing academic researchers and industrials together to review the latest advances and explore future directions in this field. Topics of interest include but are not limited to:
Key Words: Operations Research; Probabilistic & statistical models in industrial plant control; Supply chains and networks
Code: ffppn
Marc Sevaux(marc.sevaux@univ-ubs.fr), Fabian Castaño Giralgo (fabian.castano@unibague.edu.co), Raffaele Cerulli (raffaele@unisa.it )Internet technologies are growing faster than everybody might have expected it a few years ago. Objects are more and more connected and the simple mobile phone of yesterday is today an active sensor (or a node) in these modern networks. With the cheap, wireless-connected and easily configurable sensors, we are now able to collect an incredible amount of data and exploit it. These sensors are largely used in industry and take different forms such as RFID, gas or pressure sensors, fire detectors, movement scanners, etc. Because the cost of implantation has not decreased over the years, more and more companies are now using wireless sensors that operate on a simple battery. Behind a simple component, many problems arise and we have to solve them. To name a few:
The session on Sensor Network and Wireless Sensor Network Optimization will be dedicated to the resolution of these problems and will provide an excellent forum for advancing the state-of-the-art of those methods dedicated to sensor and wireless sensor network optimization.Key Words: Operations research; Optimization; Networks; Wireless; Coverage
Code: 2ve4j
Mustapha Ouladsine (mustapha.ouladsine@lsis.org), Guillaume Graton (guillaume.graton@centrale-marseille.fr), Jacques Pinaton (jacques.pinaton@st.com).Nowadays, the monitoring of equipment health becomes crucially important on manufacturing processes. In fact, on one side, the fault detection and the prediction of manufacturing process health are significant tools for an accurate management of the process quality. The diagnosis and the prognosis of manufacturing process equipment increase the maintainability, reliability and safety of the equipment. On another side, measurements of some product variables are costly, moreover these measurements are managed by sampling rules. They are also called difficult-to-measure (DTM) variables. The lack of these measurements implies some difficulties or problems to track and to monitor the product quality throughout equipment health. The DTM variable estimation using virtual metrology tools overcomes the product quality tracking. Moreover, the interactions between equipment health and manufacturing product quality are well known like for example the impact of the pad equipment aging on the wafer quality. To focus on these interactions is an important point in semiconductor industry. Approaches which take into account these interactions and which model them with accuracy have deep impacts in the semiconductor manufacturing yield. The main topic of this session is devoted to the health monitoring of manufacturing systems through out the diagnosis and the prognosis of manufacturing process plant and their interactions with the wafer quality estimation. The aim of this session is to see new approaches and new applications in real contexts throughout original and miscellaneous papers taken into account different issues from semiconductor manufacturing industry.
Key Words: Monitoring, diagnosis and maintenance of manufacturing systems; Quality management; Maintainability, reliability, safety and dependability of production systems
Code: 7sghg
Cengiz KAHRAMAN (kahramanc@itu.edu.tr )The fuzzy set theory can capture the uncertainty related to incomplete data and can also handle the linguistic data, which humans generally prefer using them under vagueness. This special session will cover the modeling studies for manufacturing, management and control problems under fuzziness. The papers in the session can use the extensions of fuzzy sets such as type-2 fuzzy sets, hesitant fuzzy sets, and intuitionistic fuzzy sets as they can use ordinary fuzzy sets. The session may include the following topics but are not limited to Fuzzy Design and reconfiguration of manufacturing systems, Fuzzy Facility planning and materials handling, Fuzzy Inventory control, production planning and scheduling, Fuzzy Pricing and outsourcing, …
Key Words: Design and reconfiguration of manufacturing systems; Inventory control, production planning and scheduling; Modeling, simulation, control and monitoring of manufacturing processes
Code: p2v5n
Enzo Morosini Frazzon (enzo.frazzon@ufsc.br ), Carlos Eduardo Pereira (cpereira@ece.ufrgs.br), Bernd Hellingrath (hellingrath@ercis.uni-muenster.de), Shimon Y. Nof (nof@purdue.edu)Due to the increasing needs for supply chain integration and at the same time, its increasing complexity, tactical and operational planning need to be supported by decision making models and intelligent systems. Decision making models can apply optimization, simulation, or hybrid approaches. At the same time, embedded intelligent systems are composed by data acquisition, transformation, as well as communication among technological devices. The proper integration of planning methods and intelligent systems allows for the emergence of adaptive, agile and resilient supply chains. Examples of this kind of fit are Intelligent Maintenance Systems, combined with Integrated Planning for Spare Parts Supply Chains. The session will embrace an integrative view of different supply chain planning tasks: production planning and scheduling, inventory planning, transportation and distribution operations planning, as well as coupled services and technologies which can lead to the improvement of supply chain operations. Sesson topics: The session chairs invite scientists, engineers and decision makers from government, industry and academia to contribute with theoretical and applied research papers. The aim of this session is to attract high-quality papers in areas including but not limited to the following topics: Inventory control, production planning and scheduling; Supply chains and networks; Simulation technologies in manufacturing; Operations Research in manufacturing; Modeling, simulation, control and monitoring of manufacturing processes; Monitoring, diagnosis and maintenance of manufacturing systems; Smart manufacturing systems; Maintainability, reliability, safety and dependability of production systems. Special attention will be directed towards practical relevance and approaches that can foster innovation in supply chains.
Key Words: Supply chains and networks; Monitoring, diagnosis and maintenance of manufacturing systems; Inventory control, production planning and scheduling
Code: p25g3
Mohammed Dahane (mohammed.dahane@univ-lorraine.fr ), M'hammed Sahnoun (msahnoun@cesi.fr), Taebok Kim (tbkim@inu.ac.kr), Purushottam L. Meena (plmeena1@gmail.com)Integrated approaches in the management and the design of production systems have become an important issue during last decades. This integration aims to simultaneously take into account several constraints of the production system like maintenance scheduling, demand requirement during maintenance, machines reliability, production planning, inventory sizes, quality control, human resources management, etc. Several studies are dealing with the integration of the maintenance and the production to optimize, for example, preventive maintenance dates and machines production rates and maintenance staff scheduling with production planning... Other studies are interested to the integration of the production management and the quality control. These studies may investigate, for example, interactions between production lot size and the quality sampling, quality investment for less defective items... Last years have seen the emergence of the joint consideration of maintenance, production and quality. In this integration several problems may be considered, like machines' selection in production system design based on the reliability and production characteristics of machines... In this context, this invited session is interested in studies dealing with a joint decisions relating to maintenance strategies, production management and/or quality control. It aims to gather original papers dealing with applications of optimization and simulation techniques. Papers that discuss real case studies are highly recommended. Researchers and practitioners are invited to submit original papers dealing with the following topics but are not limited to:
...
The session is realized within the framework of the IFAC Technical Committee TC 5.2. “Manufacturing Modelling for Management and Control”Key Words: Maintainability, reliability, safety and dependability of production systems; Inventory control, production planning and scheduling; Quality management
Code: th37d
Yassine OUAZENE (yassine.ouazene@utt.fr), Farouk Yalaoui (farouk.yalaoui@utt.fr),
Martin G. Ravetti (martin.ravetti@dep.ufmg.br), Mauricio C. de Souza (prof.mauriciodesouza@gmail.com)This special session deals with scheduling and optimization challenges of modern manufacturing and engineering systems. Original methods may be proposed based on the intelligent computing and optimization techniques to provide effective and efficient solution methods for complex scheduling optimization problems. It aims also to present the most recent developments of Operations Research models and other applications of intelligent computing techniques used for scheduling and optimization in a variety of manufacturing and engineering systems. The topics of interest include, but are not limited to:
Key Words: Operations Research; Inventory control, production planning and scheduling
Code: vk372
Xiaoning Jin (xnjin@umich.edu), Qing Chang (qing.chang@stonybrook.edu ),
Yong Lei (ylei@zju.edu.cn),Modern manufacturing systems become increasingly complex, and face more frequent and unpredictable changes and disruptions, both externally (e.g., natural disasters, terrorism, loss of key suppliers) and internally (e.g., component failures, machine breakdowns, tool changing, material unreadiness, labor absenteeism).These disruptive events may severely impact the system functionality and performance. Resilience refers to the ability of a system to resist disruptions and function across different possible states and gradually return to its equilibrium state through adaption and autonomy. Therefore, a system designed with resilience has become a competitive advantage to survive and sustain in a global market. This session focus on research to exploit innovative methodologies leading to design, modeling and control of resilient and sustainable production systems. Keywords: resilience, sustainable, adaptive control, design, prognosis. This special session aims at bringing academic researchers and industrials together to review the latest advances and explore future directions in this field. Topics of interest include but are not limited to:
Key Words: Design and reconfiguration of manufacturing systems; Modeling, simulation, control and monitoring of manufacturing processes; Smart manufacturing systems
Code: q6w8k
Zaki Sari (z_sari@mail.univ-tlemcen.dz), Banu Ekren (banu.ekren@ieu.edu.tr),
Tone Lerher (tone.lerher@uni-mb.si),Warehouses are critical for supply chains. Their main role is to buffer materials along the supply chain so that the negative effects of demand variability that may cause due to external factors such as seasonality, pricing, promotions, economic conditions, transportation, manufacturing cycle time and other factors are decreased. The basic operations in warehousing are: receiving goods, storing them, receiving orders from customers, retrieving these orders from the storage locations and shipping them to the customers. Existing researches show that better understanding design of warehouse and management principles can play a critical role in supply chain by improving the efficiency of warehouse operations; reducing employee fatigue and turnover, and improving the customer service level. The purpose of this session is to present researches in the warehousing domain using both quantitative and qualitative models. Topics of interest include (but are not restricted to):
Key Words: Facility planning and materials handling; Design and reconfiguration of manufacturing systems
Code: q6w52
Lyes Benyoucef (lyes.benyoucef@lsis.org), Manoj K Tiwari (mkt09@hotmail.com)The global economy and the recent developments in IC technologies have significantly modified the business organization of enterprises and the way that they do business. A new form of organization called “Supply Chain Network” turn to appear and quickly adopted by most leading enterprises. It is noticed that “competition in the future will not be between individual organizations but between competing supply chains”. Thus, business opportunities are captured by groups of enterprises in the same supply chain network. The main reason for this change is the global competition that forces enterprises to focus on their core competences (i.e., to do what you do the best and let others do the rest). Fuzzy sets proved successful in various fields of engineering and management to formalize human reasoning patterns and to develop high-performance expert systems in contexts where data are affected by uncertainty and/or vagueness. This special session will provide a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of fuzzy logic applications in manufacturing and logistics. Experts and professionals from academia, industry, and the public sector are invited to submit papers on their recent research and professional experience on the subject. High quality papers reporting on relevant reviews of existing literature, theoretical studies, case studies, interdisciplinary research are all very welcome.
Key Words: Fuzzy logic, supply chain, logistics, manufacturing, inventory control, selection problems, production.
Code: x68u9
Lyes Benyoucef (lyes.benyoucef@lsis.org), Manoj K Tiwari (mkt09@hotmail.com)Supply chain management (SCM) has become a critical aspect in today’s fiercely competitive business environment. Under the expanded heading of logistics, SCM is now an integral part of company activities covering areas such as purchasing, transportation, production, warehousing, inventory, etc. Today’s consumers demand cheaper, high quality products, on-time delivery and excellent aftersales services. Hence, companies are under intense pressure to cut product and material costs while maintaining a high level of quality and after-sale services. In 2002, American companies spent $910 billion, or about 8.7% of the United States gross domestic product (GDP), on business logistics systems, which contained the warehousing costs, transportation costs, shipper related costs and logistic administration costs. In Singapore, the transport and communication industry sector contributed about 10.8% of the GDP in year 2003. Considering the importance and the influence of SCM, manufacturers and retailers have paid great efforts to handle the flow of products efficiently and coordinate the management of supply chain smoothly. Evolutionary algorithms have been put to use in multiple segments of the supply chains. They have taken a prominent role to integrate people, information and products across integrated supply chain boundaries including management of various manufacturing, logistics and retailing operations such as in manufacturing, warehousing and distribution of goods and services. This special session will provide a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of evolutionary algorithms applications in supply chain management. Experts and professionals from academia, industry, and the public sector are invited to submit papers on their recent research and professional experience on the subject. High quality papers reporting on relevant reviews of existing literature, theoretical studies, case studies, interdisciplinary research are all very welcome.
Key Words: Inventory control, production planning and scheduling; Design and reconfiguration of manufacturing systems; Industrial and applied mathematics for production
Code: 6axm6
Achraf Jabeur Telmoudi (achraf-j.telmoudi@topnet.tn), Lotfi Nabli (lotfinabli@hotmail.com),
Control and monitoring for Discrete Event Systems (DES) is motivated by the ordering of events or actions. Problems of control and monitoring of DES arise in control engineering, industrial engineering, computer science, and applied sciences. Areas in which DES control and monitoring problems arise include manufacturing systems, automated guided vehicles, logistics, communication networks and chemical engineering systems, but also software systems on computers, laptops and readers. As a result of this, the research into control and monitoring of DES is well motivated by engineering. However, several theoretical issues are open and this is the reason why a very active scientific community is still working in this area. In particular, due to complexity of nowadays systems, particular efforts are devoted to the design of efficient decentralized and distributed approaches. The goal of this invited session is that of making the point on the state of the art in this area, collecting both significant examples of applications and theoretical results. Topics of interest include, but are not limited to, the following topics:
Key Words: Discrete event systems in manufacturing; Monitoring, diagnosis and maintenance of manufacturing systems; Modeling, simulation, control and monitoring of manufacturing processes
Code: bv682
Habiba Drias (hdrias@usthb.dz), Gabriella PASI (pasi@disco.unimib.it),
We are living the era of Data Sciences and developing Data-Centric Technologies after having known for decades Computational Sciences. Data are being of great interest for all domains especially since the emergence of Internet. They are of crucial importance because of their complexity and their huge volumes that are tricky to handle. These last years, researchers are seeking not only effectiveness and efficiency for the problems they tackle but also scalability, which is a real big challenge. Intelligent approaches such as bio-inspired computing and multi-agent systems are certainly powerful tools to cope with complex issues. However, combined with data mining tasks, they increase more their performances. Manufacturing area is also concerned by these technological advancements. If data in risk management, logistics, transportation, scheduling or supply chains to cite only these applications fields, are judiciously prepared and mined prior to any launching manufacturing process, outcomes will gain more accuracy. This session is seeking research papers on recent advances in data mining tools with a special focus to their applications to manufacturing systems but are not limited to :
Key Words: Data Mining Tasks; Manufacturing Engineering; Applications
Code: xn63n
Faicel Hnaien (faicel.hnaien@utt.fr), Hichem Snoussi (Hichem.Snoussi@utt.fr),
André Rossi (andre.rossi@univ-ubs.fr),In this session, we look for contributions on WSN optimization problems such as solutions for deployment, activation, tracking or setting emergent optimization problems in WSN. The optimization can be done by exact and approximated methods as heuristics, metaheuristics, matheuristics, hybrid methods, and multi-objective optimization, etc.
Key Words: Sensor network optimization; Operations Research; Sensor networks, wireless communication in manufacturing
Code: 3tk1f
Faicel Hnaien (faicel.hnaien@utt.fr), Alexandre Dolgui (dolgui@emse.fr),
In this session, we look for contributions on Inventory control, lot-sizing and replenishment planning are essential issues for companies desirous to satisfy their customers at a lower price. Various sources of replenishment uncertainties exist due to: variations of assembly,and manufacturing capacities; random breakdowns and rejects, supplying reliability, pricing, etc. To decrease the influence of these uncertainties, the companies use safety stocks, but stocks are expensive. So, the problem is to control stocks and to avoid stockout while keeping a high service level. The objective of this Invited Session is performing a review on this topic, more particularly on advanced replenishment planning and inventory control models with lead timeand pricing uncertainties. A particular aspect of this session concerns models for assembly systems. Indeed, several types of components are needed to produce one finished product in case of assembly lines, then, the inventories of the different types of components become dependent. A delay and stockout of only one component automatically leads to a shortage due to the impossibility to assemble the finished product. In addition, appends an overstocking of the others types of components (delivered but not used). Thus, the models, for this case, are more sophisticated.
Key Words: Inventory control, production planning and scheduling; Pricing and outsourcing; Operations Research
Code: wa929
Yeming Gong (gong@em-lyon.com)
Facility planning and design is critical for global supply chain management and operations strategy. Today’s facility logistics goes beyond the planning in a simple plant or warehouse, integrating risk control, information systems and big data, sustainability strategy, safety management, healthcare management, global supply chain strategy, robots and automation control to achieve operational competencies including cost, flexibility, quality, and time for superior business performance. Current active researches of facility logistics, including big data and facility planning, risks management of facility logistics, revenue management and facility design, sustainability of facility design, and safety management of facility logistics are improving the application of facility logistics in service facilities, manufacturing facilities, transportation facilities, retailing facilities, healthcare facilities, public and government facilities. Topics of interest include (but are not restricted to):
Key Words: Facility planning and materials handling; Operations Research; Inventory control, production planning and scheduling
Code: q4ksd
Abdellah Abouabdellah (a.abouabdellah2013@gmail.com)
Logistics within the hospital is a complex function: it manages the flow of products and very different distribution channels, various packaging and meets strict safety and traceability. Difficulties in optimizing flows and stocks lead managers to find difficult balances and discover new ways to rationalize expenditure and refined look for solutions to these new problems. By using the techniques of lean, hospital logistics will reduce the financial impact of the consumption of products, reduce inventory and cycle times, reduce waste and provide better inventory tracking and traceability services. The obligation to control health spending is in itself an important reason to take steps to reorganize the supply chain. These issues reinforce the need to restructure the flow of pharmaceutical products should be analyzed and evaluated. Just as lean manufacturing, lean logistics is an approach that eliminates existing waste in the supply chain in the aim to accelerate the flow of streams, control costs and improve constantly. Lean logistic is then an excellent opportunity for the restructuring of the flows of pharmaceuticals products that allows to stick to customer’s expectations. Health institutions are required on the one hand to ensure high quality service towards patients, and in other hand optimize the supply chain. These constraints have led the hospital to engage in a process of deep restructuring and controlling the growth of health spending and budgets. This session aims to discuss new research interested in the logistics function to issues within the hospital including:
Key Words: Supply chains and networks
Code: 5k418
François Clautiaux (francois.clautiaux@math.u-bordeaux.fr), Manuel Iori (manuel.iori@unimore.it)
This session addresses cutting and packing problems. The aim is to discuss the recent trends of problems dealing with: bin packing issue, knapsack of different dimensions (1, 2 or 3D). These optimization problems are usually encountered in logistics, transportation, and distribution systems, in warehouse and inventory management and in production planning and scheduling. We are interested in this session in resolutions approaches: exact methods (mathematical programming, branch and bound,…) heuristics, metaheuristics, and theoretical results (lower bounds). We are also interested in logistics and industrial applications such as VRP including items loading in the trucks, inventory management, production problems including specific constraints like the guillotine one, …
Key Words: Operations Research
Code: v6q55
Nidhal Rezg (nidhal.rezg@univ-lorraine.fr), Zied Hajej (zied.hajej@univ-lorraine.fr)
Ameliorating the situation of an industry requires certainly reducing costs and maximizing the customer satisfaction. It’s clear that Satisfying customer demand in a timely fashion has become difficult due to the demand’s random nature, a problem compounded by machine failures and low system availability. These goals cannot be achieved without a good management and a good know how while making decisions. These decisions are generally associated, at least, with three levels of the hierarchical planning process: strategic, tactical and operational levels. Aware about the superfluous costs that possessing, for a long period, resources which can be sometimes pointless, ecological, subcontracting, leasing…. have become very important for many manufacturing enterprises because of the advantage that these solutions can bring. So, nowadays, these industrial solutions, been based on outsourcing, are becoming more and more in vogue concerning mainly subcontracting workforce to perform some tasks (maintenance, supervision, audit,...) or leasing workstations in order to produce the required quantities or in order to respect the ecological constraints. Several industrial constraints suffered by the companies, the searchers try to revise the integrated maintenance production strategies actually adopted in order to develop and optimize new integrated maintenance production strategies taking into account some industrial constraints (leasing, warranty, subcontracting….). By the development of such maintenance/productions strategies under constraints, we can carry simultaneously a general vision on the maintenance strategies and the production decisions in order to find stability between the industrial systems’ availability, productivity and customers’ satisfaction. Researchers as well as practitioners are invited to propose new studies in this frame and to present industrial cases related to the integrated maintenance problems under constraints.
Key Words: Monitoring, diagnosis and maintenance of manufacturing systems; Maintainability, reliability, safety and dependability of production systems; Probabilistic & statistical models in industrial plant control
Code: ahbrt
Agnieszka Stachowiak (agnieszka.stachowiak@put.poznan.pl), Lukasz Hadas (lukasz.hadas@put.poznan.pl), Piotr Cyplik (piotr.cyplik@wsl.com.pl)
Integration is one of the key aspects and issues in contemporary management, both on the enterprise level, and on the global scale, as far as global supply chains are considered. The goal of the session is presenting benefits emerging from integration of production systems with logistics, and methods and tools enabling integration on various levels of management. All the papers presenting models of integration, approaches that can be applied, as well as case studies describing problems and solutions of integration of information and material flows are kindly invited, to support academics and business people with knowledge on potential and expected benefits in terms of efficiency and productivity of integrated systems. The main areas of interest and the session topics include integration of production and logistics system on operational and strategic level; integration of processes and resources; lean and agile as contemporary paradigms promoting integration of systems; methods and tools supporting integration.
Key Words: Enterprise modelling, integration and networking; Design and reconfiguration of manufacturing systems; Supply chains and networks
Code: 3a7vw
Bouzouia Brahim (bbouzouia@cdta.dz), Mehdi Gaham (gaham_mehdi@hotmail.com), Samia OURARI (sourari@cdta.dz)
Recently, the convergence of emerging embedded computing capabilities, information and identification technologies, and distributed and cooperative manufacturing control architectures has led to the development of the concept of Cyber-Physical Production Systems (CPSs). Mainly, this concept is broadly conceived as a natural evolution of Holonic, multi-agent and product-driven manufacturing control paradigms, and refers to a new generation of cooperative systems, with integrated computational and physical capabilities, that interact dynamically in order to produce a global intelligent behavior, autonomy, self-control, and particularly self-optimization. Actually, operations optimization capability is of main concerns within this context as efficiency of activities scheduling and control process represents a vital issue for manufacturing organizations. Given the importance of these issues , this special session is dedicated both to the presentation of the situation and recent advances concerning the application of CPSs paradigm in the manufacturing control area, and to explore recent applicative frontiers with existing manufacturing operations optimization methods and control paradigms. Also, considering the multi-disciplinary nature of CPSs, it is intended to explore frontiers of the concept with other disciplines and aims at the crossroads between researchers and practitioners from diverse domains, such as intelligent manufacturing, Internet of Things, Embedded Systems, Computational Intelligence, Operational Research, and Information technologies. Topics of interest include (but are not limited to) the following:
Key Words: Enterprise modelling, integration and networking; Design and reconfiguration of manufacturing systems; Supply chains and networks
Code: iqy95
Fayçal BELKAID (faycal.belkaid@mail.univ-tlemcen.dz), Zaki Sari (z_sari@mail.univ-tlemcen.dz), Farouk Yalaoui (farouk.yalaoui@utt.fr)
Currently, the market dynamics have changed and production environments have been evolved, characterized by perpetual changing conditions which create a complex situation for companies, making the operations management process characterized by the presence of many uncertainties and a large number of constraints. Consequently, their negligence, limits the ability of the system which cannot react, to all external or internal environment changes. In this context, industries must continuously find ways to retain their customers and to improve their production systems by exploiting the different available resources. As optimization techniques, metaheuristics represent an important class of approximate methods aiming to solve a broad range of hard optimization problems. This special session aims to collect quality refereed papers on the application and developments of metaheuristics in manufacturing and logistics to provide a vital link between academic community and industrial sector. Topics of interest include, but are not limited to:
Key Words: Inventory control, production planning and scheduling; Supply chains and networks; Industrial and applied mathematics for production
Code: 73a27
Hamza Gharsellaoui (gharsellaoui.hamza@gmail.com), Samir Ben Ahmed (samir.benahmed@fst.rnu.tn), Ammar Hamad (hamad.ammar@uqam.ca), Farouk Yalaoui (farouk.yalaoui@utt.fr)
For a few years, researchers, engineers, educators, programmers and users of computers decide that one of the most common problems faced in industry is optimization; i.e., how to find the optimal solution to a problem. For the embedded systems field, traditionally optimization problems are solved by exact optimization methods or analytic means which are unsuitable or intractable nowadays because of their size and the introduction of more practical constraints. Instead, Genetic algorithms, neural networks, petri nets, Tabu search algorithm and fuzzy logic tackle this kind of problems by finding good and optimal solutions in a reasonable amount of time and a low power consumption. The successful application of genetic algorithms, relies on algorithm parameters which depend on the problem instance under study. This special session aims at bringing together academic researchers and industrials working on the development of optimization solutions and methods, in particular in the field of real-time scheduling, low power consumption and execution-time optimization of control embedded systems, to review the latest advances and explore future directions in this field. The main topics of interest include but are not limited to:
Key Words: Heuristics and metaheuristics algorithms, embedded systems, real-time scheduling, low-power consumption, execution-time minimization.
Code: 2ww2n
Andréa Cynthia Santos (andrea.duhamel@utt.fr), Christophe Duhamel (duhamel@isima.fr), Thiago Ferreira Noronha (tfn@dcc.ufmg.br).
Real applications such as disaster relief, supply chain, network design, vehicle routing and transportation usually rely on parameters unknown in advance. Robust optimization is an interesting methodology to optimize problems subject to uncertain data since any hypothesis is done on the data distribution. In fact, the uncertain data can be modeled as an interval or even using a discrete set, defining scenarios that may occur. This special session is dedicated to real applications modeled and solved by means of robust optimization.
Key Words: Operations Research; Supply chains and networks; Transportation science
Code: e2125
Fabio Fruggiero (fabio.fruggiero@unibas.it), Marcello Fera ( marcello.fera@unina2.it), Yassine Ouazene (yassine.ouazene@utt.fr), Michael Sylvester Packianather (PackianatherMS@cf.ac.uk), baris yuce (yuceb@cardiff.ac.uk).
Most of the manufacturers has nowadays recognized as key enablers for competition the role of technology in terms of precision, production speed, integration with the inventory and cooperation in projects, so, reduction of costs. They investigated the industrial plants, production flows and tasks, trying to determine the optimal configurations and schedule of resources and technology for a better performance in production systems and services. However, many times the intangible elements of the production systems interfere with the industrial process of optimisation. In fact, the manufacturing companies studied the benefits of advanced manufacturing concentrating their efforts in terms of product mix and volume, but it is worth to note that the flexibility is mainly related to the contribution of humans and their interaction with environment and safety and robotics in system. As part of global optimisation strategies: Health and Safety of people at work; the management of risk; the effectiveness of control techniques for safety; the human behaviour, are under the assessment and control of operational risk. On the contrary, considering safety in system, can lead to neglect the facets of the production related to the economic and technical issues those are revealed from an OM approach. This session invites the researchers and practitioners to submit their recent original researches (both quantitative and qualitative) in the field and related fields of advanced manufacturing. The submissions should have novel insights for industrial managers and manufacturing practitioners. It is encouraged original contributions in the following (but are not limited to) areas:
Key Words: Maintainability, reliability, safety and dependability of production systems; Design and reconfiguration of manufacturing systems; Modeling, simulation, control and monitoring of manufacturing processes
Code: a7bak
Lyes Benyoucef (lyes.benyoucef@lsis.org), Hernan Aguirre (ahernan@shinshu-u.ac.jp), Farouk Yalaoui (farouk.yalaoui@utt.fr).
Short presentation: Multi-criteria approaches for optimization and decision making have been put to use in multiple segments of manufacturing and logistics. They have taken a prominent role to integrate people, information and products across integrated supply chain boundaries including management of various manufacturing, logistics and retailing operations such as in manufacturing, warehousing and distribution of goods and services. Decisions involving customer profiling, new product development, retail marketing, and sales patterns are immensely refined using innovative multi-criteria approaches. Also, as such decisions have an impact on the overall integrated logistic network processes, it is important that innovative multi-criteria-based tools also be linked to manufacturing and logistics applications. This special session will provide a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of multi-criteria applications in manufacturing and logistics. Experts and professionals from academia, industry, and the public sector are invited to submit papers on their recent research and professional experience on the subject. High quality papers reporting on relevant reviews of existing literature, theoretical studies, case studies, interdisciplinary research are all very welcome. The session aims to focus on the following topics including:
Key Words: Industrial and applied mathematics for production; Supply chains and networks; Inventory control, production planning and scheduling
Code: xp8am
Eric Bonjour (eric.bonjour@univ-lorraine.fr), Laurent Geneste (laurent.geneste@enit.fr), Bertrand Rose (bertrand.rose@unistra.fr).
For many industrial companies, preserving, developing and managing their immaterial assets are key issues. These immaterial assets are mainly composed of: experiences (contextualized knowledge, knowledge in action), general knowledge (tacit or explicit, individual or collective) and competences. Manufacturing systems are often socio-technical systems in which human actors still play major roles, especially in cognitive intensive tasks (such as problem solving or diagnosis). Taking into account this human oriented aspect of manufacturing systems requires dedicated approaches. The objective of this special session is to present and discuss novel approaches (models, methodologies) for the modelling, the control and the management of immaterial assets in the context of manufacturing systems. The mains topics for this session are (but are not restricted to):
Key Words: Knowledge management in production; Enterprise modelling, integration and networking; Supply chains and networks
Code: qftsn
Mohamed Reghioui (m.reghioui@gmail.com), Abdelghani Bekrar (Abdelghani.Bekrar@univ-valenciennes.fr), Aelfallahi El fallahi (aelfallahi@gmail.com).
Tackling various sets of constraints in complex optimization problems remains the main issue in applying operational research techniques to real industrial problems. In fact, taking into account an important number of constraints promotes the use of approximate methods instead of exact ones, and even heuristics instead of metaheuristics. Nowadays, many studies have considered combinations of several real-life constraints to get closer to industrial applications. One can cite the Rich Vehicle Routing Problem, in which several constraints like time windows, multiple depot, heterogeneous fleet and pickup and deliveries can coexist in the same application. Planning and scheduling problems also face the same complications. The objective of this special session is to present new studies with real industrial applications. Authors are invited to submit original contributions on optimization problems in SCM, including but not limited to:
Key Words: Supply chains and networks; Operations Research; Modeling, simulation, control and monitoring of manufacturing processes
Code: 915g4
Najib Essounbouli (najib.essounbouli@univ-reims.fr), Issam Salhi (isalhi@yahoo.fr)
New challenges associated with reducing greenhouse gas helped give impetus to the development of renewable energy. However, most studies have focused on domestic use or production farm development (PV or wind). It would be wise to incorporate the concept of eco-production in industry that produces using renewable energy. This session aims to present the latest work dedicated to the development of approaches to the use of renewable energy and energy efficiency in industrial production:
Key Words: Modeling, simulation, control and monitoring of manufacturing processes; Smart manufacturing systems
Code: 6ns87
Nadia Brauner (nadia.brauner@g-scop.inpg.fr), Vladimir Kotov (kotovvm@ya.ru).
This special session concerns Combinatorial models in scheduling. Original models and methods for theoretical problems and industrial applications in scheduling may be proposed. Topics of interest include but are not limited to:
Key Words: Inventory control, production planning and scheduling; Operations Research; Industrial and applied mathematics for production
Code: yk7d6
Achraf Jabeur Telmoudi (achraf-j.telmoudi@topnet.tn), Malek Masmoudi (malek.masmoudi@univ-st-etienne.fr), Lyes Benyoucef (lyes.benyoucef@lsis.org).
This special session deals with the problem of supply chain management and scheduling of distributed Systems: manufacturing systems, health systems, energy production systems… The goal is to present an integrative view of various problems related to distributed systems such as: distributed supply chain planning tasks, production planning of multi-sites systems, scheduling of multi-sites systems, transportation planning, scheduling of production energy systems, distributed Operating room planning and scheduling, … The topics of interest include, but are not limited to:
Key Words: Distributed systems and multi-agents technologies; Supply chains and networks; Inventory control, production planning and scheduling
Code: nvuxf
Gonzalo Mejia (gonzalo.mejia@pucv.cl), Lionel Amodeo (lionel.amodeo@utt.fr), Carlos Montoya (c_montoya@javeriana.edu.co).
Project Management and Scheduling (PM&S) is increasingly becoming a major activity for companies around the world. This key activity not only applies to construction and software development but also to manufacturing, service and governmental organizations. The right estimation of resources, activity durations and capital can save millions of dollars in large projects. However, most projects are rarely executed as expected due to events that lead to delays, instability and ultimately increasing costs. To date, most of the research literature has focused on deterministic PM&S whose applicability has been disputed over the years due to unrealistic assumptions and to lack of provisions to handle disruptions. These can be uncertainty in the activity durations, unexpected shortage of resources, and/or changes in the scope of the project. This session focuses on novel approaches of PM&S aimed to either reduce the impact of the aforementioned disruptions or to restore the project back to a desired state (“back on track”) with minimal cost/effort. The goal of this session is to bring together researchers and practitioners that have both theoretical and practical experience in the scheduling and management of projects. The primary objective is to have a forum to discuss ideas, novel approaches, and case studies and to bridge the gap between theory and practice. Special attention will be paid to real-life applications and to theories put into practice. The topics of interest include, but are not limited to:
Key Words: Design and reconfiguration of manufacturing systems; Smart manufacturing systems; Maintainability, reliability, safety and dependability of production systems
Code: 56n6q
Alexandre Dolgui (dolgui@emse.fr), Liang Liang (lliang@ustc.edu.cn), David L. Olson (david.olson@unl.edu), Charles S. Tapiero (cst262@nyu.edu), Desheng Dash Wu (desheng.wu@utoronto.ca).
Operations Risk Analytics will enable the growth and understanding of best practices in operations, e.g., pricing functions. Banks are processing millions of transactions everyday in order to protect against fraud and terrorist financing. Energy companies monitor operations process and customer activities to protect again abnormal and predict spikes in demand. Risk analytics in business intelligence represents data--oriented techniques to supplement business systems for better risk--based decision making. Risk performance analysis in manufacturing intelligence uses advanced data analytics, modeling and simulation to produce a fundamental transformation to new product--based economics through internet--based service enterprises and demand--driven supply chains. Risk evaluation plays key roles in emerging areas such as bio--manufacturing, nanotechnology, and energy. We see a dramatic increase in the use of predictive analytics in these and many other areas. This special invited session will bring together scientists who have different backgrounds and disciplines, and provide a set of opportunities to discuss these open issues.
Key Words: Operations, Risk Analytics, Uncertainties, Pricing, Optimization
Code: 75k19
Laszlo Monostori (laszlo.monostori@sztaki.hu), Botond Kadar (botond.kadar@sztaki.hu), Marcello Colledani (marcello.colledani@polimi.it), Gisela Lanza (Gisela.Lanza@kit.edu), Juan Manuel Jauregui Becker (j.m.jaureguibecker@utwente.nl ).
Modern enterprises of all sizes operate in complex supply chains and global production networks. Along with the ongoing globalization, production companies have to compete in a highly dynamic, uncertain and disruptive global environment. Companies are therefore challenged to develop and manufacture products at a high level of flexibility and quality at low costs, furthermore, internal and external uncertainties and disturbances present a major challenge as they are particularly strengthened by the increasing networking. Efficiently handling these effects is a hot topic in both, academic and industrial communities. The session aims at collecting new results in modelling, planning, controlling and monitoring, performance evaluation and supporting ICT solutions for robust, multi-level production networks. In the session we welcome papers addressing how the problems occurred in the mentioned dynamic environment can be solved by combining stability and agility in a way that not only facilitates survival in a changing market and technological environment, but also helps exploit opportunities offered by change. The solution approaches can or should be addressed at multiple levels of a production network, so contributions focusing on both vertical (or multi-level) and horizontal (or peer-to-peer) interaction of production layers are welcomed. Specific topics of interest include but are not limited to:
Key Words: Supply chains and networks; Enterprise modelling, integration and networking
Code: d2896
Chrysostomos Stylios (stylios@teiep.gr), Alexander Petunin (a.a.petunin@urfu.ru)
Manufacturing processes are requiring always better optimization techniques and algorithms mainly due to their numerous real-world applications while at the same time exhibiting intrinsic computational complexity. This special session aims to present recent advances in optimization techniques for manufacturing processes and especially focusing on their application in cutting machines and related problems. Topics of interest include but are not limited to:
Key Words: Supply chains and networks; Enterprise modelling, integration and networking
Code: vc3t3
Roberto Pinto (roberto.pinto@unibg.it), Ruggero Golini (ruggero.golini@unibg.it)
Urban population is steadily growing, bringing along a manifold increment of demand for goods and services, mainly concentrated in relatively limited areas. This is inevitably leading cities around the world to face increasing challenges in terms of efficient transportation of people and, especially, goods. The transportation of goods in urban areas is an essential activity to ensure adequate supplies at stores as well as delivery of goods at home. Moreover, the urban freight transportation industry is a major source of employment. Yet, freight transportation is also a disturbing activity in urban centers, producing negative effects such as congestion, pollution, noises, accidents and so forth. This special session aims at bringing together academic researchers and practitioners working on the development of processes, services, technologies, models and real-life projects in the field of urban freight distribution. The main topics of interest include but are not limited to:
Key Words: Supply chains and networks; Transportation science; Operations Research
Code: 8fpr6
Dimitri Lefebvre (dimitri.lefebvre@univ-lehavre.fr), Alexandre Philippot (alexandre.philippot@univ-reims.fr)
The modeling, analysis, verification and control of manufacturing systems are important issues to improve the performance of such systems. Discrete event systems (DESs) are event-driven systems and their state evolution depends on the occurrences of discrete events. DESs provide a large variety of models, as automata, Petri nets or max plus formalisms that are popular tools to represent the behaviors of manufacturing systems. They provide also efficient analysis methods for performance evaluation and diagnosis issues. Finally DESs lead to advanced control approaches including supervisory control, deadlock-free scheduling control, model predictive control and many others that are supported by manufacturing systems. The aim of this special session is to present recent methodological results with such formalisms. The related work can be the modeling, analysis, verification, and control of DESs. A particular interest concerns integrated tools that cover several issues. Prospective authors are welcome to submit their original papers with the latest contributions. This session will provide an opportunity to facilitate interactions among researchers and practitioners in those fields. The invited session includes the following topics but not restricted to:
Key Words: Modeling, simulation, control and monitoring of manufacturing processes; Monitoring, diagnosis and maintenance of manufacturing systems; Discrete event systems in manufacturing
Code: 574c1
Dmitry Ivanov (divanov@hwr-berlin.de), Alexandre Dolgui (dolgui@emse.fr),
Suresh P. Sethi (sethi@utdallas.edu), Richard F. Hartl (richard.hartl@univie.ac.at)Control and game theoretic approaches to supply chain analytics, scheduling and discrete systems in production, manufacturing and logistics have been important research streams over the last fifty years. In view of the increasing importance of risk management and coordination in supply chains, the issues of resilience, stability, robustness, and adaptation have become very important. Since control theory methods are eminently suitable for quantitative analysis of these issues in dynamic environments, there has been a great deal of activity in exploiting these tools to address supply chain problems.
This Special Session is devoted to these recent developments, and its aim is to attract high-quality papers dealing with the dynamic supply chain problems with the help of the theory of control and dynamic games.
Session topics:
The session chairs invite scientists, engineers and decision makers from government, industry and academia to contribute theoretical and applied research papers in areas including but not limited to the following topics:Key Words: Inventory control, production planning and scheduling; Modeling, simulation, control and monitoring of manufacturing processes; Discrete event systems in manufacturing
Code: 115q1
Supply Network Resilience and Dynamics
Dmitry Ivanov (divanov@hwr-berlin.de), Alexandre Dolgui (dolgui@emse.fr),
Tadeusz Sawik (ghsawik@cyf-kr.edu.pl), Wenjun Zhang (wjz485@mail.usask.ca)Current research in supply chain management and engineering has been increasingly focused on the issues of resilience, dynamics and decision-making under uncertainty. It has been accepted by research community that the effects of various sources of uncertainty should be considered during both supply chain design, planning and execution control. In addition, the issues of behaviour prediction and adaptation become more and more important. The research focus is now shifting to a paradigm that the performance of supply networks is to interrelate to dynamics, adaptability, stability, resilience, and crisis-resistance. This special Session aims to summarize recent developments in the field of supply chain resilience, dynamics, control and disruption management from a multi-disciplinary operational perspective that includes different quantitative methods and information technology. The aim of this session is to attract high-quality papers detailing the most recent developments in the field of tackling uncertainties, dynamics, and disruptions in the supply chain. We welcome quantitative analysis contributions from different disciplines of operational research, control theory, system dynamics, and artificial intelligence that provide new insights into the theory and practice of supply chain dynamics, control and disruption management.
Session topics:
Following the successful tradition of INCOM 2009, 2012, 2015 and MIM 2013, the session chairs invite scientists, engineers and decision makers from government, industry and academia to contribute theoretical and applied research papers in areas including but not limited to the following topics:Key Words: Supply chains and networks; Industrial and applied mathematics for production; Operations Research
Code: 3quav
Supply Chain Scheduling
Nicholas G. Hall (hall.33@osu.edu), Dmitry Ivanov (divanov@hwr-berlin.de),
Mikhail Y. Kovalyov (kovalyov_my@yahoo.co.uk)Integration and coordination are two central issues in supply chain management (SCM). Properly addressing these issues allows companies to meet customer needs successfully, while improving supply chain efficiency. When handing these issues, new challenges for supply chain scheduling exist that concern information sharing, coordination time and costs, incentives and strategic behaviour, problem complexity and information uncertainty. This Special Session aims to present and discuss recent developments in the field of supply chain scheduling from a multi-disciplinary perspective, with a focus on quantitative methods and information technology. We welcome high quality papers that describe relevant models and methods of operations research, control theory, system dynamics, and artificial intelligence to provide new insights into the theory and practice of supply chain scheduling.
Session topics:
Following the success of the Special Session on “Supply Chain Scheduling” at IFAC INCOM 2015, the session chairs invite scientists, engineers and decision makers from government, industry and academia to contribute theoretical and applied research papers in areas including but not limited to the following topics:
Key Words: Supply chains and networks; Inventory control, production planning and scheduling; Modeling, simulation, control and monitoring of manufacturing processes
Code: ragw8
Sustainable Logistics and Closed Loop Supply Chain
Matthieu Godichaud (matthieu.godichaud@gmail.com), Lionel Amodeo (lionel.amodeo@utt.fr), Amin Chaabane (amin.chaabane@etsmtl.ca)Under the pressure of environmental contraints and environementally conscious customers, enterprises have to manage end-of-life products by implementing reverse logistic activities. The objective is to add value (economic or environnemental) to end-of-life products by recovering, disassembling, recycling, remanufacturing, repairing or conditionning. When the processed products are integrated in the supply chain, reverse logistic forms closed loop supply chain. Modeling for economic and environnemental optimization of reverse logistic and closed loop supply chain poses new challenges for researchers and practionners. Strategic, tactical and operational decisions have to cope with various types of flows, new uncertainties related to the qualitty of end-of-life products or environemental constraints and objectives. Topic of this session (not limited to) are related to network design, inventory control, scheduling, lot sizing, planning, for reverse logistic and closed loop supply chain.
Key Words: Supply chains and networks; Inventory control, production planning and scheduling; Operations Research
Code: 226t8
Human factors in industrial and logistic system design
Fabio Sgarbossa (fabio.sgarbossa@unipd.it), Daria Battini (daria.battini@unipd.it),
Christoph Glock (glock@bwl.tu-darmstadt.de), Eric Grosse (grosse@bwl.tu-darmstadt.de), W. Patrick Neumann (pneumann@ryerson.ca)Despite the opportunities the automatization of industrial and logistic systems offers, many companies still rely on human work and manual materials handling in many areas. Most planning models that have been proposed in the past to support managerial decision making in industrial and logistic systems have neglected the specific characteristics of human workers, which often led to unrealistic planning outcomes. In order to guarantee a high level of productivity and efficiency and to make sure that decision support models reflect reality as good as possible, it is necessary to consider human factors in addition to economical aspects in designing industrial systems. There seems to be a large gap in the literature concerning the integration of human factors into decision support models for industrial and logistic systems as well as regarding the analysis of the impact of system design parameters on the operators. Generally, human factors (perceptual, mental, physical and psychosocial aspects) determine the performance of industrial and logistic systems to a large extent if human operators are employed. This aspect becomes more challenging in light of demographic changes, which will likely put human factor-related issues in logistics – such as the risk of developing musculoskeletal disorders in labor-intensive work environments, for example – on top of the agendas in many companies. In addition, the consequences of using innovative technical solutions to support industrial and logistics processes, such as augmented reality or motion capture is not yet fully understood in light of human performance and errors. This session aims at investigating the development of innovative approaches for the integration of human factors in industrial and logistic system design. The main topics should concern :
Key Words: Facility planning and materials handling; Operations Research; Supply chains and networks
Code: 99kd8
Yassine OUAZENE (yassine.ouazene@utt.fr ), Marcello Colledani (marcello.colledani@polimi.it), Alice Yalaoui (alice.yalaoui@utt.fr),As part of the IFAC MIM 2016 conference in Troyes during June 28-30, 2016, we are organizing a special session on manufacturing systems design. We have the pleasure to invite you to participate in it. Short presentation: When designing a production system, all the functional and technological alternatives must be studied in order to guarantee an optimal productivity while respecting many constraints such as: quality standards, manufacturing process safety, environmental impact and other economic constraints. It is essential to evaluate different alternatives in order to choose the best system configuration and perform an optimal system design. The aim of this session is to present new approaches and methods for modeling and evaluating the performance of different manufacturing systems. We will focus on the development and analysis of performance evaluation models of manufacturing systems using analytical methods (decomposition, aggregation and equivalent machine), Markovian and queuing analysis, simulation, and inventory control approaches. Specific topics of interest include but are not limited to:
Key Words: Discrete event systems in manufacturing; Simulation technologies; Design and reconfiguration of manufacturing systems
Code: 9539c
Hicham CHEHADE (hicham.chehade@utt.fr), Farouk Yalaoui (farouk.yalaoui@utt.fr),
Mustapha Nourelfath (mustapha.nourelfath@gmc.ulaval.ca), Nazir CHEBBO (nchebbo@ul.edu.lb)Getting the highest performances with the lowest costs while respecting environmental constraints are one of the most important concerns of the designers and manufacturers of production and assembly systems. In addition to that, different sub problems may be considered in the design procedure such as: buffers sizing, equipment selection, line balancing, etc. The aim of this session is then to present the recent trends in optimization methods to get an efficient design of manufacturing systems. We will focus on studies that concentrate on the exact and approached optimization techniques to solve various design problems. Regarding the optimization approaches, single criterion and multi criteria optimization approaches could be presented. The topics of this session, but are not limited to, are: - Manufacturing systems design: buffers sizing, equipment selection, line balancing, reliability, eco-design, etc. - New exact methods, heuristics and metaheuristics - Single criterion and multi-criteria optimization methods.
Key Words: lines design, buffers sizing, lines balancing, optimization, heuristics, metaheuristics, exact methods, Design and reconfiguration of manufacturing systems; Maintainability, reliability, safety and dependability of production systems; Operations Research
Code: akfs7
Olga Battaïa (battaia@emse.fr), Xavier Delorme (delorme@emse.fr),Rita Gamberini (rita.gamberini@unimore.it)
The aim of this session is to present new approaches and models for the design, balancing and part sequencing for assembly and machining lines. Nowadays, production systems are characterized by short product life-cycle time, high levels of automation, emergence of new manufacturing equipment and technologies, and high investment. Moreover, due to the increasing complexity of the tasks to perform, the reconfiguration of manufacturing/assembly systems can also require the study of learning models of operators involved in order to set and implement effective reconfigurations plans and actions. These attributes lead to new assembly and machining line design problems and more frequent design and redesign needs, and hence to the demand for new methods and decision-aid tools. We will focus on studies that concentrate on assembly and machining line balancing and sequencing approaches which deal specifically with the peculiarities of flexible and production systems. Our scope covers single criterion and multi-criteria optimization approaches. We encourage also submissions on development of robust models taking into account possible variations of data as well as on decision support systems (DSS) and their integration in product life cycle management (PLM) applications.
Key Words: assembly lines, machining lines, line balancing, process planning, equipment selection, learning models, sequencing, flow shop scheduling, discrete optimisation, decision-aid systems
Code: 33eip
Mohand Lounes Bentaha (mohand-lounes.bentaha@univ-lorraine.fr), Olga Battaïa (battaia@emse.fr), Alexandre Dolgui (dolgui@emse.fr), Pascale Marange (pascale.marange@univ-lorraine.fr), Alexandre Voisin (alexandre.voisin@cran.uhp-nancy.fr)
The assembly/disassembly line design problem has to respect various economic, technological and environmental constraints while optimizing certain predefined criteria. Changing market conditions, global competition and data availability at the design stage bring uncertainty into decision making process. The special session is dedicated to the discussion on these topics which include but are not limited to:
Key Words: assembly; disassembly; machining; line design; line balancing; sequencing; combinatorial optimization, uncertainty
Code: fsb4m
Nacima Labadie (nacima.labadie@utt.fr), Renata Mansini (renata.mansini@unibs.it),
Jan Melechovsky (jan.melechov@seznam.cz)The role of transportation and logistics is well established in numerous manufacture industries. In the last years, the service sector has attracted more and more attention of both researchers and practitioners with a view to reduce costs, ensure quality of service as well as to meet the ever-growing needs of the population for services provision such as maintenance and repair services, tourist route planning, home health care and so on. This session is dedicated to academic works dealing with new models and algorithms as well as real case studies with the aim of establishing the recent advances of routing problems in these application areas.
Key Words: Operations Research; Supply chains and networks; Transportation science
Code: f2y51
Risk management and transportation
Murat Afsar (Murat.Afsar@utt.fr ), Caroline Prodhon (caroline.prodhon@utt.fr),
Nubia Velasco (nvelasco@uniandes.edu.co )In a world with conflicts, economic crisis, terrorism and instability, the strategic and operational risks related to transport and logistics are even more pronounced. As supply chains continue to become more global and complex, the risk of disruption intensifies. Yet while most companies recognize the increased risk potential, many are ill prepared to handle a disruption. All logistic activities imply risks that need to be evaluated and managed. One should identify and reduce these risks whilst minimizing their consequences and impacts. In transportation science, such problems can be regrouped into two categories: Risk management during transportation Carrier delays and non-performance Product safety during transportation Lack of inventory Logistic responses to potential risk events in unsafe environments Disaster management and humanitarian logistics Hazardous material transportation In this session of Risk Management and Transportation, we encourage researchers who integrate risk identification, evaluation mitigation and minimization in transportation.
Key Words: Transportation science; Supply chains and networks; Operations Research
Code: q98j6
Philippe Lacomme (placomme@isima.fr ), Daniele Vigo (daniele.vigo@unibo.it),
Thibault Vidal (vidalt@inf.puc-rio.br), Caroline Prodhon (caroline.prodhon@utt.fr )The main objective of logistics is to coordinate transport activities, storage, inventory management, handling, in order to meet customer requirements at minimum cost. If in the past, that cost was defined in purely monetary terms, today's environmental concerns encourage companies to take into account the indirect costs that affect pollution (water, air, noise, ...). The purpose of this session is to present recent academic research trends in green transportation logistics with new models and algorithms as well as real case studies. Potential themes include, but are not limited to:
Key Words: Transportation science; Supply chains and networks; Operations Research
Code: s12m3
Said Hanafi (said.hanafi@univ-valenciennes.fr ), Christophe Wilbaut (Christophe.Wilbaut@univ-valenciennes.fr),For a few years hybrid approaches have received a growing interest from the scientific community. This can be explained by the impressive results obtained by these methods when they are developed for solving many hard optimization problems. In fact, the progress observed both on hardware and software aspects have led to the emergence in recent years of optimization problems more and more complex to solve, especially because of their size and the introduction of more practical constraints. Given the difficulty of these problems, the development of new hybrid approaches combining the best elements of traditional approaches (branch and bound, relaxation, heuristics, metaheuristics ...) allows in many cases to provide very efficient solutions to the decision maker. This special session aims at bringing together academic researchers and industrials working on the development of hybrid methods, in particular in the fields of transportation, logistic and mobility, to review the latest advances and explore future directions in this field. The main topics of interest include but are not limited to:
Key Words: Transportation science; Supply chains and networks; Operations Research
Code: 244rx
Haoxun Chen (haoxun.chen@utt.fr), Hervé Manier (herve.manier@utbm.fr)Collaborative logistics has emerged as a key strategy for shippers and carriers in freight transport to gain competitive advantages by improving their operational efficiency. In collaborative logistics, multiple shippers or carriers form an alliance to jointly optimize their transportation operations by consolidating or exchanging their transportation requests. Such collaboration can reduce empty vehicle repositions and increase vehicle utilizations, and consequently can reduce transportation costs and increase profits of these shippers and carriers. This special session is dedicated to the exchange of ideas and results on collaborative logistics. More specifically, we are interested in theoretical contributions and real case studies on collaborative transportation planning and profit/cost allocation among shippers or carriers.
Key Words: Supply chains and networks; Smart transportation; Operations Research
Code: mtg7i
Marie-Ange Manier (marie-ange.manier@utbm.fr), Aziz Moukrim (aziz.moukrim@utc.fr)Vehicle routing problems are concrete logistic problems that have been one of the major classes of combinatorial optimization problems. They have been extensively studied over the past decades. Even within a limited area of urban logistics, the variety of real life situations encountered leads to many variants of transportation problems. These situations differ according to the point of view of the involved actors, the nature of the delivered products, the frequency of the demands, the size and the configuration of the urban network, etc. The objective of this session is to highlight the current researches on vehicle routing problems emerged in the context of city logistics. We will focus on the originality of the studied problems as well as exact and approximate approaches developed to solve them.
Key Words: Transportation science; Smart transportation; Operations Research
Code: 4kbiu
Haibo Wang (hwang@tamiu.edu), Elias Olivares-Benitez (elias.olivares@upaep.mx)
There is an increasing public awareness of the dangers of transporting hazardous materials, where huge volumes of hazardous materials and waste are transported by container ships, trucks and trains daily. Recent chemical explosions in Tianjin Port China caused tremendous loss of life and destruction of property in addition to extensive disruption of global supply chain of a number international companies. The control process begins at the hazardous material’s movement from its origin all the way to its destination. Should an accident or intentional breach occur in the shipping container where hazardous materials are released, an automatic electronic notice of distress is sent to the appropriate first responders identifying the cargo, its volatility or danger level, and the emergency response with respect to initial isolation, and protective distances and actions required for that specific hazardous cargo. This special session is aimed to bring in both academy and practitioner with solutions to address this important issue. The related topics include transportation and storage of hazardous materials and waste in term of maritime, highway, rail, airborne and pipeline. The topics on hardware, software, cases, pilot programs and regulatory policy are encouraged to submit.
Key Words: Smart transportation; Distributed systems and multi-agents technologies; Transportation science
Code: 4qqp7
Eric Chatelet (eric.chatelet@utt.fr)
The vulnerability and resilience of the infrastructures and networks are more and more studied especially regarding combined natural – technical risks or/and intentional threats, in response to recent catastrophic events and their global consequences to large areas, many countries or more. It was the case for the consequences of the 11 September 2001 attacks in New York City and Washington D. C., disasters as the Haiti earthquake on 12 January 2010 or the Tohoku earthquake on 11 March 2011 in Japan or also, those due to the Eyjafjallajökull eruption in Iceland on April 2010 (especially the airspace closure). All these disasters show that our organizations, networks and systems present numerous vulnerabilities and need to be improved. Even if anticipated and preventive actions are sometimes possible, it is clear that it is not possible to avoid systematically these catastrophic events. In so circumstances, the resilience of the systems and associated organizations has to be taken into account. Then, the improvement of the resilience of systems is a complex problem and needs to develop combinations of specific strategies. These strategies are based on necessary systemic approaches and developments of adapted methodologies, models (as risk analysis methods) and optimization approaches.
Key Words: Probabilistic & statistical models in industrial plant control; Maintainability, reliability, safety and dependability of production systems; Operations Research
Code: sq533
Alessandro Agnetis (agnetis@dii.unisi.it), Christian Artigues (artigues@laas.fr), Jean-Charles Billaut (jean-charles.billaut@univ-tours.fr).
In this session, we consider a two-level Supply Chain problem composed of a manufacturer and a provider, at the operational level. The manufacturer has to solve a scheduling problem (assignment of tasks to resources and setting of completion times) and the provider has to solve a vehicle routing problem (tours of vehicles and dates of delivery), under some specific constraints. Several models and resolution approaches can be proposed in this context and this session aims at attracting new models with original constraints and/or proposing efficient and sophisticated resolution methods.
Key Words: Inventory control, production planning and scheduling; Transportation science; Supply chains and networks
Code: v24t8
Mitra Fouladirad (mitra.fouladirad@utt.fr), Min Xie (minxie@cityu.edu.hk).
For complex systems, maintenance costs represent very often a high proportion of the overall ownership and operating cost. Maintenance actions should then be planned intelligently in order to avoid failures with a satisfying cost. An efficient maintenance planning defines when and in which extend the system should be repaired. The environmental conditions and other influencing factors should also be taken into account to propose beneficial maintenance policies. Maintenance optimization requires developing mathematical models, which allow to assess the maintained system performance in terms of reliability and availability and to find the best trade-off between preventive and corrective maintenance costs. These models are necessary for an optimal maintenance decision-making. To take advantage of all the available data and monitoring information, the enabling methodologies and technologies required to solve the identified deadlocks to develop these advanced maintenance models and to implement optimal maintenance decision-making procedures are important issues. The papers in this session aim to propose advanced probabilistic modeling and statistical treatment of available data to improve reliability and availability performances and to optimize maintenance policies.
Key Words: Maintainability, reliability, safety and dependability of production systems; Probabilistic & statistical models in industrial plant control; Industrial and applied mathematics for production
Code: utb57
Ernesto Mastrocinque (ernesto.mastrocinque@rhul.ac.uk), Adrian E Coronado Mondragon (adrian.coronado@rhul.ac.uk ), Paul J Hogg (Paul.Hogg@rhul.ac.uk)
Nowadays, companies are always more focused on collaborating with partners within the supply chain in order to gain strategic advantage over the competitors. However, there is an increasing need to make informed decisions when it comes to the selection and introduction of a particular manufacturing technology and new material, especially considering supply chain complexity. Some sectors such as the composite materials industry are characterised by non-standard manufacturing processes nor materials with proscribed properties. The result for those companies may be making unwise investment decision based only on the technical merit of the technology. Either a new technology or a new material may require people with different skills not available within the company itself. Increased production rates caused by a new manufacturing technology, might be constrained by the material supply required for the new process and it may result in no benefit for a company if the rest of the supply chain cannot respond at the same rate. Moreover, the lead time for the introduction of the technology may be less than the time needed to recruit and train additional staff. As a consequence, there is a need of making realistic decision on technology selection taking into account the several factors and implications related to the supply chain. The aim of this session is to invite people from academia and industry to submit original works dealing with manufacturing technology selection in the supply chain context. Topics of interest may include but are not limited to:
Key Words: Supply chains and networks; Complex adaptive systems and emergent synthesis in manufacturing; Operations Research
Code: km559
Yasmina Kerboua Ziari (ykerboua@usthb.dz), Hania Kherchi (kherchi_inps@yahoo.fr), David Laplanche (david.laplanche@ch-troyes.fr), farouk Yalaoui (farouk.yalaoui@utt.fr)
It is seldom that an organization knows many profound changes as those suffered Hospital today. These mutations are due to financial limitations, human and material constrains, population growth and aging, epidemiological evolution, specialization and evolution of technical progress in medicine, social security policy, etc. The surgical block is the one of the sectors most concerned by these changes and mainly according its specific constrains and needs. The optimal management of this part of a hospital with other sectors is a real challenge. This concern could be also associated to the emergency department which is highly important and considered as capital critical point of hospital flows. The surgical operation room optimization is therefore necessary since there are several resource constraints to be considered. Given these factors, the managers in charge of the hospital sector and also other (emergency for instance) express increasingly need to be assisted by aid decision tools to better profitable structure by ensuring the patient a better quality of care, at a cost mastered and better use of the resource block. The topics of interest for this invited session include, but are not limited to:
Key Words: Supply chains and networks; Complex adaptive systems and emergent synthesis in manufacturing; Operations Research
Code: 9fmfs
Ernesto Mastrocinque (ernesto.mastrocinque@rhul.ac.uk), Baris Yuce (yuceb@cardiff.ac.uk), Alfredo Lambiase (lambiase@unisa.it), Michael Sylvester Packianather (PackianatherMS@cf.ac.uk),Duc Pham (d.t.pham@birmingham.ac.uk)
Swarm Intelligence is defined as the collective problem-solving capability of social animals. Swarm Intelligence is generated from the decentralised self-organisational behaviour among the lower-level components of an initially unordered system made up of insects and other animal populations. This intelligence has been found in the collective behaviour of social species such as bees, fishes, bats, birds and several other organism. This collective behaviour has been utilised in computational intelligence to solve complex optimisation problems. Thus, several optimisation algorithms have been inspired from this collective behaviour of swarms e.g. Ant Colony Optimisation, Particle Swarm Optimisation, The Bees Algorithm, The Bat Algorithm, Artificial Immune Systems, and Bacterial Foraging among others. Swarm-based algorithms have been successfully applied in the field of manufacturing systems and supply chains in order to find the optimal solutions for complex optimisation problems. The aim of this special session is to invite people from academia and industry to submit original works dealing with applications of swarm-based algorithm for solving complex manufacturing systems and supply chains. Topics of interest may include but are not limited to:
The applications of the above swarm-based optimisation algorithms may include but are not limited to:Key Words: Supply chains and networks; Operations Research; Design and reconfiguration of manufacturing systems
Code: 55apa
Helena V. G. Navas (hvgn@fct.unl.pt ), Virgílio A. Cruz Machado (vcm@fct.unl.pt)
Systematic innovation is crucial for increasing design effectiveness, enhancing competitiveness and profitability. Enterprises need to invest in systematic innovation if they want to win or survive. Innovation can no longer be seen as the product of occasional inspiration. Innovation has to be learned and managed. Innovation has to be transformed into a capacity, not a gift. Unexpected occurrences, inconsistencies, process requirements, changes in the market and industry, demographic change, changes in perception or new knowledge can give rise to innovation opportunities. Systematic innovation can be understood as a concept that includes the inventive instruments necessary to invent the right things that need to be invented, and incorporate them into new products and processes. Design activity needs innovation with the right dose and in the nick of time. The Theory of Inventive Problem Solving (TRIZ), Brainstorming, Collateral Thinking, Mind Maps and other methodologies can stimulate individual and collective creativity. Original work developed in the areas of Systematic Innovation in Engineering can be submitted to the session. This is aimed at the application of innovation principles and concepts, targeting more efficient & creative operations and products. The session is also intended to provide an opportunity to gather researchers and practitioners of Innovation and discuss the latest achievements and future challenges.
Key Words: Systematic innovation; Open innovation; Social innovation; Radical innovation; TRIZ
Code: yf564
Helena Carvalho (hmlc@fct.unl.pt), Virgílio A. Cruz Machado (vcm@fct.unl.pt), Susana Duarte (scd@fct.unl.pt).
In modern business environments, an effective supply chain management is crucial to business continuity. Competition between supply chains has replaced the traditional competition between companies. Lean, Agile, Resilient and Green paradigms are advocated as the foundation of a competitive supply chain management. To make a supply chain more competitive, capable of responding to the demands of customers with agility and capable of responding effectively to unexpected disturbance, in conjugation with environmental responsibilities and the necessity to eliminate processes that add no value, companies must implement a set of new practices and key performance indicators to measure their influence on the supply chain performance. However, the selection of the best supply chain management practices and key performance indicators is a complex problem, involving dependencies and feedbacks. Original work developed in the areas of Lean, Agile, Resilient and Green Approach in supply chain management can be submitted to the session. Companies and institutions case studies on initiatives and proposals towards sustainability by ways of reducing waste, energy intensity, water consumption and raw materials, while improving their leanness and agility, are also appreciated.
Key Words: Lean; Agile; Resilient; Green; Supply Chain Management
Code: tk83y
Isabel L. Nunes (imn@fct.unl.pt), Helena V. G. Navas (hvgn@fct.unl.pt ), Virgílio A. Cruz Machado (vcm@fct.unl.pt)
Nowadays many companies are undergoing organizational transformations in order to meet the changing market demands. Thus, in order to become more competitive, supply chains are adopting new management paradigms to improve its performance: Lean and Systematic Innovation paradigms. The implementation of new production paradigms demands particular care with the issues related with Human Factors to avoid health and safety problems to workers and losses to companies. Thus, the successful introduction of these new production paradigms depends among others on a Human Factors oriented approach. Original work developed in the areas of integration of ergonomic and safety design principles during the different implementation phases of Lean and Systematic Innovation practices can be submitted to the session. This is aimed at the application of Ergonomics, TRIZ Methodology and Lean Thinking principles and concepts, targeting more efficient, creative and safety operations and products. The session is also intended to provide an opportunity to gather researchers and practitioners of Ergonomics, Lean and Systematic Innovation and discuss the latest achievements and future challenges. Companies and institutions case studies on initiatives and proposals towards sustainability by ways of reducing waste, energy intensity, water consumption and raw materials, while improving their leanness, creativity and ergonomics, are also appreciated.
Key Words: Ergonomics; Occupational Safety; Human Factors; Lean; Systematic Innovation
Code: 8bsp7
Leila Merghem Boulahia (leila.merghem_boulahia@utt.fr), Moez Esseghir (moez.esseghir@utt.fr), Mauro Fonseca (MauroFonseca@utfpr.edu.br)
The Internet of Things (IoT) aims to increase the connectedness of people and things on a very large scale. IoT is composed of a huge amount of heterogeneous smart and interconnected objects. Interaction and cooperation between these objects, their smartness and self-adaptability make the IoT one of the leading technologies to be deployed in the context of smart cities, smart-grids, supply-chains, etc… The purpose of this special session is to present academic and industrial advances in the IoT optimization. Authors are invited to submit novel proposals concerning (but not limited to) the following topics:
Key Words: Internet of Things, Resource allocation in IoT, data management in IoT
Code: 772t4
Djamal Rebaine (djamal_rebaine@uqac.ca), Caroline Gagné (caroline_gagne@uqac.ca )
Scheduling is more and more oriented towards models in which practical constraints are taken into account. This session is dedicated to scheduling problems with operator considerations in a broader sense. Contributions, where setup times, transportation times, and/or interventions of operators are needed to build a scheduling solution, are welcomed. Approaches that we are expecting in this session to cope with the resolution of such problems include metaheuristic algorithms, heuristic algorithms along with their worst-case analysis, approximation schemes, polynomial time algorithms, and new models to capture such scheduling applications.
Key Words: Inventory control, production planning and scheduling; Probabilistic & statistical models in industrial plant control
Code: 1uvh8
Antoine Grall (antoine.grall@utt.fr), Nicolae Brinzei (Nicolae.Brinzei@univ-lorraine.fr)
The new approaches such as production of the future, Industry 4.0 expect more complex manufacturing and production systems in order to achieve an efficient production. The high level of their complexity is due to a lot of characteristics of manufacturing processes: they must be flexible, with a high degree of demands variability, a high degree of communication, self-control in a closed-loop form or self-optimization. The prediction of systems reliability is useful to evaluate design feasibility, compare design alternatives evaluate the significance of potential failures and quantify the effects of complexity on the probability of mission success. Due to the presence of new monitoring systems, on-line information is available on usage, system state, environmental conditions… and makes it possible to update the reliability prediction. In particular the prognosis of future characteristics of systems (such as Remaining Useful Life, RUL) is useful for a real time efficient management and control of production processes to avoid the loss of effectiveness which is a source of performance degradation. The assessment of these measures requires developing stochastic models (e.g. Fault Trees, Markov processes, Stochastic Petri Nets, …) that allow to take into account the probabilities’ laws describing the occurrence of random events. In addition to production systems involved in manufacturing processes, safety related systems are used jointly to yield a required safety level and reduce the risk to a tolerable level according to IEC 61508 standard and its specific implementation for manufacturing processes: the IEC 62061 standard. The assessment of the required safety level and risk reduction level requires also a stochastic modelling of this type of systems to determine whether their design meets the safety integrity requirements specification. The aim of this special session is to invite people from academia and industry to submit original works dealing with stochastic modelling approaches for reliability assessment and prognosis of the behaviour of complex systems.
Key Words: stochastic models, reliability, prognosis, remaining useful life, probabilistic assessment, production systems, safety related systems
Code: 3wjd4
Christelle Bloch (christelle.bloch@univ-fcomte.fr), David Lemoine (david.lemoine@mines-nantes.fr), Sylvie Norre (sylvie.norre@moniut.univ-bpclermont.fr)
The performance of production systems is becoming more and more crucial in a competitive economic environment, where the cost control has become a leading asset. In this context, optimization of the industrial resources use becomes meaningful, especially for issues related to the production planning and scheduling. This session introduces the current work tackling as well theoretical problems as original industrial problems. It will be possible to deal with classical scheduling and modelling problems in a workshop context (flow shop, job shop, HSP)… along with production planning problems (lot-sizing models). Usually, tactical planning decisions are based on basic valuations of the machines capacity due to the fact that the production schedule is not taken into account: it can lead to non-feasibility issues or under-utilization of the production system. Moreover, it will be possible to address work dealing with tactical and operational decisions synchronization
Key Words: Inventory control, production planning and scheduling; Operations Research
Code: qkr78
Mohamed-Larbi Rebaiaia (mohamed-larbi.rebaiaia.1@ulaval.ca), Daoud Ait-Kadi (daoud.Aitkadi@gmc.ulaval.ca), Hayet Mouss (hayet_mouss@yahoo.fr), Zineb Simeu-Abazi (zineb.Simeu-Abazi@grenoble-inp.fr).
the-art research, theories and practices on reliability and maintenance focusing on all aspects of industrial systems and networks. The principal objective of this meeting is to share our experience with engineers and practitioners’ from academic institutions, companies and industries. It also offers a tentative for creating a platform for connecting the scientific and industrial communities working in the field of reliability and maintenance. The session focuses on the following subjects:
Reliability theory and application, Reliability testing and statistics, Product reliability and safety evaluation, Human factors and reliability, Software reliability and testing, Network reliability evaluation, Mechanical reliability, Electric power systems reliability, Risk assessment methods, Reliability tools: for evaluation and optimization, Design for reliability, Data processing and experience feedback, accelerated life testing, Expected residual life analysis, Renewal theory and applied Markov process, Reliability optimization: Models and algorithms, Domino effects in reliability and availability evaluation .
Condition based maintenance, eMaintenance, Maintenance engineering : Theory and application, Reliability centered maintenance, Software maintenance, design for maintenance, Maintenance models, Maintenance management, Production/Maintenance strategies, TPM, Lean maintenance, Value maintenance, Spare Parts maintenance, Product disassembling for maintenance, Maintenance for production lines, .Maintenance for Reconfigurable systems, Replacement models in finite and infinite horizon, Applied renewal theory in maintenance : Modelling and optimization, Replacement models under resources’ constraints, Diagnosis strategies for complex systems, Maintenance optimization for multicomponent systems.
Code: 3f1r5
Thecle Alix (thecle.alix@u-bordeaux.fr), Ioana Filipas Deniaud (deniaud@unistra.fr), Emmanuel Caillaud (emmanuel.caillaud@unistra.fr), Sergio Cavalieri (sergio.cavalieri@unibg.it).The concept of service system has emerged from the recent transformation of the world’s economy into a service economy. Accordingly, organizations have to change their strategies, operations and value chains, technologies and people expertise. Servitization requires contributions from different fields such as: engineering, computer science, management, economics, human resources management. This special session aims at bringing academic researchers and industrials together to review the latest advances and explore future directions in this field. Topics of interest include but are not limited to:
Key Words: Lifecycle; Service; System engineering; Sustainability; Design; Product Service System; Servitization.
Code: e2cnf