International Journal of Simulation and Process Modelling http://www.inderscience.com/browse/index.php?journalID=100&year=2011&vol=6&issue=3 Inderscience Publishers Ltd en-uk International Journal of Simulation and Process Modelling 1740-2123 1740-2131 © 2011 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijspm_scoverijspm.jpg http://www.inderscience.com/browse/index.php?journalID=100&year=2011&vol=6&issue=3 http://www.inderscience.com/link.php?id=44766 In this paper, we present a new application of discrete-event simulation as a forecasting tool for the decision support of the production activity control of a complex manufacturing system. The specificity of such an application of simulation is the short term of the forecasts. This specificity implies that the initial state of the simulation takes into account the actual state of the system. The development on a real-size flexible manufacturing system shows the technical feasibility of the developed concepts and the potential benefits on the productivity of a single example. Proactive production activity control by online simulation
Olivier Cardin; Pierre Castagna
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 177 - 186
In this paper, we present a new application of discrete-event simulation as a forecasting tool for the decision support of the production activity control of a complex manufacturing system. The specificity of such an application of simulation is the short term of the forecasts. This specificity implies that the initial state of the simulation takes into account the actual state of the system. The development on a real-size flexible manufacturing system shows the technical feasibility of the developed concepts and the potential benefits on the productivity of a single example.

]]> 10.1504/IJSPM.2011.044766 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 177 - 186 Olivier Cardin; Pierre Castagna LUNAM Université, IUT de Nantes – Université de Nantes, IRCCyN UMR CNRS 6597 (Institut de Recherche en Communications et Cybernétique de Nantes), 2 avenue du Pr Jean Rouxel, 44475 Carquefou, France. ' LUNAM Université, IUT de Nantes – Université de Nantes, IRCCyN UMR CNRS 6597 (Institut de Recherche en Communications et Cybernétique de Nantes), 2 avenue du Pr Jean Rouxel, 44475 Carquefou, France decision support online simulation real-time simulation simulation initialisation observer synchronisation production activity control production control discrete event simulation forecasting flexible manufacturing systems FMS control FMS simulation. 2012-01-06T23:20:50-05:00 6 3 177 186 2012-01-06T23:20:50-05:00 http://www.inderscience.com/link.php?id=44767 Changing the execution control system could have a significant impact on a manufacturing company performance. Indeed, the strongly competitive context does not enable any error, which reinforces the need for a detailed a priori improvement analysis. Our proposition relies on a discrete-event simulation architecture useful to evaluate different manufacturing control systems. This enables the control system to be run connected with a representative virtual shop floor to evaluate its performances. This tool enables several control systems to be validated and compared, with greater or lesser distribution of decision power. An industrial case study is presented, based on a French furniture manufacturer, to validate the implementation of a distributed control system. An emulation-based execution control system evaluation tool: application to a furniture manufacturing group
Thomas Klein; André Thomas
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 187 - 197
Changing the execution control system could have a significant impact on a manufacturing company performance. Indeed, the strongly competitive context does not enable any error, which reinforces the need for a detailed a priori improvement analysis. Our proposition relies on a discrete-event simulation architecture useful to evaluate different manufacturing control systems. This enables the control system to be run connected with a representative virtual shop floor to evaluate its performances. This tool enables several control systems to be validated and compared, with greater or lesser distribution of decision power. An industrial case study is presented, based on a French furniture manufacturer, to validate the implementation of a distributed control system.

]]> 10.1504/IJSPM.2011.044767 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 187 - 197 Thomas Klein; André Thomas Nancy Research Centre for Automatic Control, Henri Poincaré University, Nancy, France. ' Nancy Research Centre for Automatic Control, Henri Poincaré University, Nancy, France execution control evaluation benchmarking emulation discrete event simulation furniture manufacturing manufacturing control distributed control France. 2012-01-06T23:20:50-05:00 6 3 187 197 2012-01-06T23:20:50-05:00 http://www.inderscience.com/link.php?id=44768 This paper discusses a new simulation environment that provides a cell controller to coordinate equipment within a cell to perform a sequence of manufacturing operations. Petri net models mapping to scenario-based simulators of the equipment are described. The intended advantage of the simulation environment is that only one personal computer can make all experimental tests and does not need the actual manufacturing equipment. We start with the tool of scenario to model the operation sequences of the system's equipment. The scenario methodology is able to depict clearly the signals of communication for the equipment. Finally, two examples are proposed for the simulation environment. A simulation-based equipment environment for flexible manufacturing systems
Yi-Sheng Huang; Ho-Shan Chiang
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 198 - 206
This paper discusses a new simulation environment that provides a cell controller to coordinate equipment within a cell to perform a sequence of manufacturing operations. Petri net models mapping to scenario-based simulators of the equipment are described. The intended advantage of the simulation environment is that only one personal computer can make all experimental tests and does not need the actual manufacturing equipment. We start with the tool of scenario to model the operation sequences of the system's equipment. The scenario methodology is able to depict clearly the signals of communication for the equipment. Finally, two examples are proposed for the simulation environment.

]]> 10.1504/IJSPM.2011.044768 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 198 - 206 Yi-Sheng Huang; Ho-Shan Chiang Department of Electrical Engineering, National Ilan University, I-Lan 260, Taiwan. ' Department of Electrical and Electronic Engineering, National Defense University, Taoyuan 335, Taiwan Petri nets scenario flexible manufacturing systems FMS simulation simulator cell control equipment coordination modelling FMS equipment. 2012-01-06T23:20:50-05:00 6 3 198 206 2012-01-06T23:20:50-05:00 http://www.inderscience.com/link.php?id=44769 In this paper, a distributed simulation tool for the feasibility evaluation of multi-site scheduling is proposed. The application areas concern Supply Chains (SCs) or networks of cooperating and distributed workshops. To facilitate the modelling of a corporate network, a generic framework is proposed. The distributed simulation of workshops, called virtual workshops, generates various problems of causality and of tasks execution coordination. These problems are addressed in the proposed distributed architecture by the use of High Level Architecture (HLA) protocol guaranteeing the synchronisation and the chronology of events. An application to a simple case of SC organising the flow between three workshops shows the effectiveness of the distributed simulation tool. Feasibility evaluation of multi-site scheduling by distributed simulation of workshops
S. Enjalbert; B. Archimède; P. Charbonnaud
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 207 - 217
In this paper, a distributed simulation tool for the feasibility evaluation of multi-site scheduling is proposed. The application areas concern Supply Chains (SCs) or networks of cooperating and distributed workshops. To facilitate the modelling of a corporate network, a generic framework is proposed. The distributed simulation of workshops, called virtual workshops, generates various problems of causality and of tasks execution coordination. These problems are addressed in the proposed distributed architecture by the use of High Level Architecture (HLA) protocol guaranteeing the synchronisation and the chronology of events. An application to a simple case of SC organising the flow between three workshops shows the effectiveness of the distributed simulation tool.

]]> 10.1504/IJSPM.2011.044769 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 207 - 217 S. Enjalbert; B. Archimède; P. Charbonnaud Univ Lille Nord de France, F-59000 Lille, France UVHC, LAMIH, F-59313, Valenciennes, France; CNRS, FRE 3304, F-59313 Valenciennes, France. ' Ecole Nationale d'Ingénieurs de Tarbes, Avenue d'Azereix, BP 1629, 65016 Tarbes Cedex, France. ' Ecole Nationale d'Ingénieurs de Tarbes, Avenue d'Azereix, BP 1629, 65016 Tarbes Cedex, France supply chain modelling multisite scheduling scheduling evaluation distributed simulation supply chain management SCM corporate networks virtual workshops. 2012-01-06T23:20:50-05:00 6 3 207 217 2012-01-06T23:20:50-05:00 http://www.inderscience.com/link.php?id=44770 Supply chain demand is often prone to fluctuations and instability. Known as the 'bullwhip effect', small variations in end-item demand create order and inventory oscillations that amplify from a downstream site to an upstream site. Applying a risk analysis approach, and assuming the bullwhip phenomenon as a constant reality, this paper will present the profits or losses that can accrue from various cooperation policies. The latter are based on planning, information sharing and stock-adjustment strategies adopted by the supply chain actors. The system considered for this research is a four-stage supply chain. To allow risk measures and analysis, a specific discrete-event-simulation system was developed. Risk analysis for cooperation policies benefits in reducing the bullwhip effect in a telecom supply chain
Caroline Thierry; Jaouher Mahmoudi; Jacques Lamothe
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 218 - 227
Supply chain demand is often prone to fluctuations and instability. Known as the 'bullwhip effect', small variations in end-item demand create order and inventory oscillations that amplify from a downstream site to an upstream site. Applying a risk analysis approach, and assuming the bullwhip phenomenon as a constant reality, this paper will present the profits or losses that can accrue from various cooperation policies. The latter are based on planning, information sharing and stock-adjustment strategies adopted by the supply chain actors. The system considered for this research is a four-stage supply chain. To allow risk measures and analysis, a specific discrete-event-simulation system was developed.

]]> 10.1504/IJSPM.2011.044770 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 218 - 227 Caroline Thierry; Jaouher Mahmoudi; Jacques Lamothe Université Toulouse, IRIT, Département de Mathématiques et Informatique, Université Toulouse 2, 5 allées A. Machado, 31058 Toulouse Cedex, France. ' Université de Toulouse, Mines Albi, Department of Industrial Engineering, Rte de Teillet, 81013 Albi CT Cedex 09, France. ' Université de Toulouse, Mines Albi, Department of Industrial Engineering, Rte de Teillet, 81013 Albi CT Cedex 09, France supply chain cooperation discrete event simulation modelling planning capacity risk assessment bullwhip effect telecom supply chains telecommunications supply chain management SCM information sharing stock adjustment. 2012-01-06T23:20:50-05:00 6 3 218 227 2012-01-06T23:20:50-05:00 http://www.inderscience.com/link.php?id=44771 The globalisation of markets and worldwide competition forces manufacturing enterprises to enter into alliances, leading to the creation of distributed manufacturing enterprises. Before forming a partnership, it is essential to evaluate the viability of a proposed manufacturing network. This paper presents a generic simulation model that attempts to create reusable enterprises modules for evaluating supply-chain performance. The simulation is developed using ARENA software coupled with a spreadsheet configuration tool. The latter constitute a manufacturing library from which various configurations of supply chain can be implemented and simulated. Manufacturing network simulation using a data-driven model
Mohand Essaid; Frédéric Grimaud; Patrick Burlat
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 228 - 237
The globalisation of markets and worldwide competition forces manufacturing enterprises to enter into alliances, leading to the creation of distributed manufacturing enterprises. Before forming a partnership, it is essential to evaluate the viability of a proposed manufacturing network. This paper presents a generic simulation model that attempts to create reusable enterprises modules for evaluating supply-chain performance. The simulation is developed using ARENA software coupled with a spreadsheet configuration tool. The latter constitute a manufacturing library from which various configurations of supply chain can be implemented and simulated.

]]> 10.1504/IJSPM.2011.044771 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 228 - 237 Mohand Essaid; Frédéric Grimaud; Patrick Burlat Division of Industrial and Computer Sciences, Ecole Nationale Supérieure des Mines de Saint-Etienne 158, Cours Fauriel, 42023 Saint-Étienne cedex 2, France. ' Division of Industrial and Computer Sciences, Ecole Nationale Supérieure des Mines de Saint-Etienne 158, Cours Fauriel, 42023 Saint-Étienne cedex 2, France. ' Division of Industrial and Computer Sciences, Ecole Nationale Supérieure des Mines de Saint-Etienne 158, Cours Fauriel, 42023 Saint-Étienne cedex 2, France manufacturing networks simulation enterprise effectiveness reusable modules supply chain performance supply chain management SCM. 2012-01-06T23:20:50-05:00 6 3 228 237 2012-01-06T23:20:50-05:00 http://www.inderscience.com/link.php?id=44772 Multiproduct multistage production systems have been widely implemented in recent years. One of the important considerations in such systems is identifying the location of inspection stations. This paper considers a multiproduct setting where part types compete with each other for common production resources. In this environment, it is important to consider factors such as throughput time variability and to include the corresponding queuing aspects into the model. Each workstation is modelled as a GI/G/c queue. The optimal allocation is determined by using a genetic algorithm with tournament selection, one-point crossover and uniform mutation. A genetic algorithm with tournament selection for optimising inspection allocation in multiproduct multistage production systems
Przemyslaw Korytkowski
International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 238 - 244
Multiproduct multistage production systems have been widely implemented in recent years. One of the important considerations in such systems is identifying the location of inspection stations. This paper considers a multiproduct setting where part types compete with each other for common production resources. In this environment, it is important to consider factors such as throughput time variability and to include the corresponding queuing aspects into the model. Each workstation is modelled as a GI/G/c queue. The optimal allocation is determined by using a genetic algorithm with tournament selection, one-point crossover and uniform mutation.

]]> 10.1504/IJSPM.2011.044772 International Journal of Simulation and Process Modelling, Vol. 6, No. 3 (2011) pp. 238 - 244 Przemyslaw Korytkowski West Pomeranian University of Technology in Szczecin, ul. Zolnierska 49, 71-210 Szczecin, Poland production lines quality control scrap rework inspection station allocation genetic algorithms GAs multiproduct production multistage production common resources throughput time modelling. 2012-01-06T23:20:50-05:00 6 3 238 244 2012-01-06T23:20:50-05:00