Agent-based modeling and simulation of an autonomic manufacturing execution system |
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Authors: | Milagros Roló nAuthor VitaeErnesto Martí nezAuthor Vitae |
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Affiliation: | INGAR (CONICET—UTN), Avellaneda 3657, Santa Fe S3002 GJC, Argentina |
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Abstract: | Production management systems must constantly deal with unplanned disruptive events and disturbances such as arrivals of rush orders, raw material shortage/delays or equipment breakdowns along with a multitude of interactions in the supply chain which constantly demand on-line task rescheduling and order execution control. For responsiveness and agility at the shop-floor, a distributed design for manufacturing execution systems is proposed based on autonomic units that fill the gap between production planning and shop-floor control. An interaction mechanism designed around the concept of order and resource agents implementing the monitor-analyze-plan-execution loop is described. Generative simulation modeling of an autonomic manufacturing execution system (@MES) is proposed in order to evaluate emerging behaviors and macroscopic dynamics in a multiproduct batch plant. Results obtained for an industrial case study using a simulation model of the proposed @MES are presented. The usefulness of agent-based modeling and simulation as a tool for distributed MESs design and to verify performance, stability and disturbance rejection capability of an interaction mechanism is highlighted. |
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Keywords: | Intelligent automation Multi-agent simulation Manufacturing execution systems Distributed scheduling Production control |
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