Distributed Real-Time Production Control for Resilient Manufacturing Systems
Procedia CIRP（2023）
Technische Universität Berlin | Fraunhofer Institute for Production Systems and Design Technology IPK
Abstract
To enable resilient manufacturing, production control systems must be able to adapt quickly and flexibly to unexpected changes. Motivated by Industrie 4.0, multi-agent systems offer a promising approach to meet these requirements. This paper presents a method for distributed production control that enables production entities to make optimal decisions regarding capacity utilization and the compliance of delivery dates in real-time despite disruptive events. Based on a multi-agent Markov Decision Process, production entities are modeled as autonomous software agents that can solve Flexible Job-Shop Problems through message passing. The performance of the proposed method is evaluated in a simulated production environment.
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Key words
Industrie 4.0,resilient manufacturing systems,distributed production control,multi-agent system,Flexible Job-Shop Problem
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