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 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 dynamic MAS-based systems present in literature.
Agent Based Resources Allocation in Job Shop with Re-entrant Features: A Benchmarking Analysis
Savino M;
2012-01-01
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 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 dynamic MAS-based systems present in literature.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
