Reactive scheduling using a multi-agent model: the SCEP framework |
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| Affiliation: | 1. Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran;2. LCFC, Arts et Métier Paris Tech, Centre de Metz, Metz, France;3. School of Industrial Engineering and Engineering Optimization Research Group, College of Engineering, University of Tehran, Tehran, Iran;4. Research Center for Organizational Processes Improvement, Sari, Iran;1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran;2. Islamic Azad University, Ahar branch, East Azarbaijan, Iran;1. Departamento de Estudios Organizacionales, División de Ciencias Economico Administrativas, Universidad de Guanajuato, Mexico;2. University of Nottingham, School of Computer Science Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK;3. York Centre for Complex Systems Analysis, University of York, UK;4. University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia;5. Tecnológico Nacional de México, Instituto Tecnológico de León, Mexico |
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| Abstract: | Multi-agent systems have been successfully applied to the scheduling problem for some time. However, their use often leads to poorly unsatisfactory disappointing results. A new multi-agent model, called supervisor, customers, environment, producers (SCEP), is suggested in this paper. This model, developed for all types of planning activities, introduces a dialogue between two communities of agents leading to a high level of co-operation. Its two main interests are the following: first it provides a more efficient control of the consequences generated by the local decisions than usual systems to each agent, then the adopted architecture and behaviour permit an easy co-operation between the different SCEP models, which can represent different production functions such as manufacturing, supply management, maintenance or different workshops. As a consequence, the SCEP model can be adapted to a great variety of scheduling/planning problems. This model is applied to the basic scheduling problem of flexible manufacturing systems, and it permits a natural co-habitation between infinite capacity scheduling processes, performed by the manufacturing orders, and finite capacity scheduling processes, performed by the machines. It also provides a framework in order to react to the disturbances occurring at different levels of the workshop. |
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