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Vehicle dispatching system based on Taguchi-tuned fuzzy rules |
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| Institution: | 1. School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China;2. Durham School of Architectural Engineering & Construction, University of Nebraska–Lincoln, Omaha68182, USA;3. Shandong Zhongrui New Energy Technology Co., Ltd. Jinan250101, China;4. School of Information Science and Engineering, Shandong University, Jinan 250100, China;1. AstraZeneca Gothenburg, Sweden;2. School of Pharmacy, PROMIS - Centre, University of Eastern Finland, Finland;1. Technische Universität Berlin, Transport Systems Planning and Transport Telematics, Salzufer 17-19, 10587 Berlin, Germany;2. Poznan University of Technology, Division of Transport Systems, ul. Piotrowo 3, 60-965 Poznan, Poland |
| Abstract: | This paper presents the development of a dispatching system for a fleet of automated guided vehicles in a flexible manufacturing environment which is based on a hybrid Fuzzy–Taguchi approach. A fuzzy decision-making system emulates the human behavior necessary for multi-objective directed decision making in a dynamically evolving environment. A statistical approach based on the Taguchi method tunes the fuzzy rules to achieve near optimal performance. Simulation results demonstrate the effectiveness of this marriage of computational tools in dealing with the well-known NP-complete scheduling problem. |
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