A multi-agent based approach to dynamic scheduling of machines and automated guided vehicles in manufacturing systems |
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| Authors: | Rizvan Erol Cenk Sahin Adil Baykasoglu Vahit Kaplanoglu |
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| Affiliation: | 1. Department of Industrial Engineering, Cukurova University, Adana, Turkey;2. Department of Industrial Engineering, Dokuz Eylul University, Izmir, Turkey;3. Department of Industrial Engineering, University of Gaziantep, Gaziantep, Turkey;1. School of Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China;2. Engineering Research Center of Port Logistics Technology and Equipment, Ministry of Education, Wuhan, 430063, China;3. School of Aviation, University of New South Wales, Sydney, NSW 2052, Australia;1. Assistant Professor, Department of Mechanical Engineering, K.L.E.F (K.L) University, Guntur, 522502, A.P, India;2. Head of Mechanical Engineering, Govt; Polytechnic College, Paderu, Vishakhapatnam, 531024, A.P, India;3. Director & Professor, Department of Mechanical Engineering, J.N.T.University, Kakinada, 533003, A.P, India;4. Research Scholar U.C.E. J.N.T.University.Kakinada, Andhra Pradesh, India;1. Institut Supérieur de Gestion de Tunis, Université de Tunis, 41, Avenue de la Liberté, Cité Bouchoucha, Bardo, Tunis, Tunisia;2. Ecole Supérieure de Commerce de Tunis, Université de la Manouba, Tunis, Tunisia;1. College of Mechanical Engineering, Donghua University, Shanghai, 201620, China;2. Shenzhen International Graduate School, Tsinghua University, Shenzhen, China |
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| Abstract: | In real manufacturing environments, the control of system elements such as automated guided vehicles has some difficulties when planning operations dynamically. Multi agent-based systems, a newly maturing area of distributed artificial intelligence, provide some effective mechanisms for the management of such dynamic operations in manufacturing environments. This paper proposes a multi-agent based scheduling approach for automated guided vehicles and machines within a manufacturing system. The proposed multi-agent based approach works under a real-time environment and generates feasible schedules using negotiation/bidding mechanisms between agents. This approach is tested on off-line scheduling problems from the literature. The results show that our approach is capable of generating good schedules in real time comparable with the optimization algorithms and the frequently used dispatching rules. |
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