An integrated agent-based approach for responsive control of manufacturing resources |
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| Affiliation: | 1. School of Industrial Engineering and Center of Excellence for Intelligent Based Experimental Mechanics, College of Engineering, University of Tehran, Tehran, Iran;2. Mechanical and Industrial Engineering Department, University of Minnesota Duluth, Duluth, MN, USA;3. PRISM Center & School of IE, Purdue University, West Lafayette, IN 47907, USA;1. Technical University Munich, 85748 Garching, Germany;2. School of Economics and Management, Leibniz University Hannover, Königsworther Platz 1, 30167 Hannover, Germany;3. University of Liverpool Management School, Chatham Street, Liverpool, L69 7ZH, UK |
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| Abstract: | Due to the dynamic fluctuation of customer demands in the global market, manufacturing enterprises are facing difficulties in rapidly responding to market changes. The aim of this research is to develop a system to integrate dynamic process planning and dynamic production scheduling for the purpose of increasing the responsiveness of adaptive manufacturing systems in accommodating dynamic market changes (rapidly changing demand patterns or product varieties). The concept of Multi-Agent Systems (MAS) has been adopted in this study. All of the tasks related to process planning, optimization and scheduling in this system are carried out by autonomous agents that are capable of interacting and negotiating with each other to bid for jobs and make decisions. On the one hand, this system optimizes the utilization of manufacturing resources and on the other hand, it also provides a platform where the reconfiguration of manufacturing systems can be assessed. This system has been implemented on a Java platform and a case study is provided to elaborate on this system and evaluate its implementation. |
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