Agent Based Resources Allocation in Job Shop with Re-entrant Features: A Benchmarking Analysis

Abstract : Job shop production can be characterized by some unplanned event like re-entrant jobs at a certain stage of the production process. In this case a dynamic allocation management of the resources involved (machines, transporters, etc) can be key factor of success in optimizing some production parameter. The present work studies a multiple objective job shop in which the constraint that a workpiece visits a machine only once is relaxed. The production shop floor has been structured with a Multi Agent System (MAS) able to front dynamically these type of events. A benchmarking analysis is provided to compare the solutions found with other two main dynamic MAS-based systems present in literature.
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Christos Emmanouilidis; Marco Taisch; Dimitris Kiritsis. 19th Advances in Production Management Systems (APMS), Sep 2012, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-397 (Part I), pp.350-358, 2013, Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. 〈10.1007/978-3-642-40352-1_44〉
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Matteo Savino, Antonio Mazza. Agent Based Resources Allocation in Job Shop with Re-entrant Features: A Benchmarking Analysis. Christos Emmanouilidis; Marco Taisch; Dimitris Kiritsis. 19th Advances in Production Management Systems (APMS), Sep 2012, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-397 (Part I), pp.350-358, 2013, Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. 〈10.1007/978-3-642-40352-1_44〉. 〈hal-01472262〉

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