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In this event, there may be a slight delay in shipping and possible variation in description. Our Day return guarantee still applies. Bookseller Completion Rate This reflects the percentage of orders the seller has received and filled. 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. 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: Performance hospital logistics chain; Management of drug flows; Reducing waste through Lean projects within the hospital; Optimization of choice and selection of suppliers; Integration of decision support tools in logistics flows of the hospital; Risk Management in the hospital supply chain.
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 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,. Ameliorating the situation of an industry requires certainly reducing costs and maximizing the customer satisfaction. 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.
Home health care logistics management problems: a critical review of models and methods
Aware about the superfluous costs that possessing, for a long period, resources which can be sometimes pointless, ecological, subcontracting, leasing. 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, 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.
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. 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 Operations Optimization in Cooperative and Cyber-physical Manufacturing Systems Bouzouia Brahim bbouzouia cdta.
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: Cyber-Physical Orientation in Manufacturing Control Intelligent optimization approaches for dynamic planning and scheduling Holonic, Agent-Based and Product Driven Systems Cooperative and distributed meta-heuristic optimization RFID and Wireless Sensor Network for manufacturing control.
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.
Hamza Gharsellaoui gharsellaoui. 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. 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.
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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: Genetic based algorithms Neural networks algorithms Petri Nets algorithms Fuzzy Logic algorithms Tabu search algorithm Heuristics and metaheuristics methods Control for scheduling and planning Low power consumption methods Theoretical aspects of execution-time optimization Reliability, control safety and reconfiguration methods and tools. Key Words: Heuristics and metaheuristics algorithms, embedded systems, real-time scheduling, low-power consumption, execution-time minimization.
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: e Advanced manufacturing strategies to enhance safety, ergonomics and productivity in production systems Fabio Fruggiero fabio.
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. 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 Advanced multi-criteria applications in manufacturing and logistics Lyes Benyoucef lyes. Short presentation: Multi-criteria approaches for optimization and decision making have been put to use in multiple segments of manufacturing and logistics. 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. The session aims to focus on the following topics including: Manufacturing and logistics systems scheduling and planning; Adaptive manufacturing and logistics systems trading, coordination and negotiation; Green and Eco-manufacturing and logistics systems management; Risk management in manufacturing and logistics systems; Secure manufacturing and logistics systems collaboration; Impacts of cultural difference for manufacturing and logistics systems management.
Key Words: Industrial and applied mathematics for production; Supply chains and networks; Inventory control, production planning and scheduling Code: xp8am Modelling and management of Experiences, Knowledge and Competences for Manufacturing Systems Eric Bonjour eric. 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. Bekrar univ-valenciennes. 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. Key Words: Supply chains and networks; Operations Research; Modeling, simulation, control and monitoring of manufacturing processes Code: g4 New trends of renewable energy in industrial systems Najib Essounbouli najib. 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: Optimal Design of the facilities for energy production, Optimization of the production of renewable energy, Optimization algorithms pursuit of maximum power point, Optimization of energy flow, Smart grid Key Words: Modeling, simulation, control and monitoring of manufacturing processes; Smart manufacturing systems Code: 6ns87 Combinatorial models in scheduling Nadia Brauner nadia.
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: Exact methods approximation algorithms mathematical programming graph theory original scheduling constraints Original scheduling models on-line and off-line problems. Key Words: Distributed systems and multi-agents technologies; Supply chains and networks; Inventory control, production planning and scheduling Code: nvuxf Risk, resilience, and recovery in project management and scheduling Gonzalo Mejia gonzalo.
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.
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: Risk management in projects Agile methodologies and scheduling Project Resilience Disruption estimation and prevention Recovery in Project Management Robust Project Scheduling Multi-objective Project Scheduling Multi-skill Project Scheduling Novel modeling tools and applications Case studies. Key Words: Design and reconfiguration of manufacturing systems; Smart manufacturing systems; Maintainability, reliability, safety and dependability of production systems Code: 56n6q Operations risk analytics and pricing Alexandre Dolgui dolgui emse.
Olson david. Tapiero cst nyu. Operations Risk Analytics will enable the growth and understanding of best practices in operations, e. 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. Lanza kit. 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: Design and management of production networks under uncertainty and stochastic disturbances. Innovative methodologies for decision-making integrating different production levels Multi-level production robustness Modelling and performance evaluation of complex production systems and networks. Methods and tools to predict, measure, and respond to uncertainty in production networks Cooperation in production networks.
Key Words: Supply chains and networks; Enterprise modelling, integration and networking Code: d Optimization techniques for manufacturing process and mainly cutting machines Chrysostomos Stylios stylios teiep. 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.
Models for Practical Routing Problems in Logistics: Design and Practices
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. Key Words: Supply chains and networks; Enterprise modelling, integration and networking Code: vc3t3 Urban freight distribution: emerging concepts and innovative models Roberto Pinto roberto.
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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. Key Words: Supply chains and networks; Transportation science; Operations Research Code: 8fpr6 Discrete event systems for manufacturing systems Dimitri Lefebvre dimitri.
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.
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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: Automata in discrete event systems Petri nets and their applications Max plus and algebraic approaches Identification of discrete event systems Efficient analysis of discrete event systems Optimal control of discrete event systems Scheduling of manufacturing systems Verification tools for discrete event systems Fault diagnosis of discrete event systems.
Key Words: Modeling, simulation, control and monitoring of manufacturing processes; Monitoring, diagnosis and maintenance of manufacturing systems; Discrete event systems in manufacturing Code: c1 Control approaches to supply chain analytics, scheduling, and discrete systems Dmitry Ivanov divanov hwr-berlin. Sethi sethi utdallas. Hartl richard. 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.
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Key Words: Inventory control, production planning and scheduling; Modeling, simulation, control and monitoring of manufacturing processes; Discrete event systems in manufacturing Code: q1 Supply Network Resilience and Dynamics Dmitry Ivanov divanov hwr-berlin. 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.
Hall hall. 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. 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.