| Summary: | 碩士 === 國立雲林科技大學 === 工業工程與管理系 === 103 === To meet a variety of market needs, it is important to introduce more flexible manufacturing systems that can adapt to various complex and changing production environments. Common dispatch strategies consider only a limited number of production variables and hence are unable to effectively meet complex performance indicators and manufacturing environments with real-time changes. As such, this study presents a two decision fuzzy dispatch strategy based on the fuzzy theory. Two types of decision strategies, selecting job orders and selecting processing machines, were considered according to production variables that affect system performance at different decision timings. A fuzzy rule base constructed by fuzzy membership functions of production variables and decision strategies determines the priorities of job orders and processing machines. Then, a simulation model was created by using Arena and Excel.VBA and system performances were evaluated from the simulation results. The different performance indicators of the proposed fuzzy dispatch strategy were compared with those of other common dispatch strategies. The results show that the fuzzy dispatch strategy exhibits better performance and stability in all the performance indicators in various manufacturing environments compared to the common dispatch strategies. In addition, the fuzzy dispatch strategy for selecting processing machines (FuzzySM) yield greater benefits than that for selecting job orders (FuzzySJ).
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