| Summary: | 碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 91 === The plants combined problems of supply chain that most in accordance with supplier criteria factors, measurement the layout planning between the manufacturer and the distributor as well as the inventory strategy of to draw up by each stairs membership for single objective problem in the past research. Besides, how to satisfy with multi-objective and effective to connect the combined optimization of a subject of debate for each others plants membership. Consequently, we expect to establish for an appropriate fuzzy multiobjective situation algorithm about the plants combined of optimization in fuzzy supply chain to transform of network (FSCNTPCO). The perform steps as follows: (1) Using supply chain network concepts to help decision maker according to present structure of supply chain membership to get preliminary a supply chain network graph by to shin upon way. (2) Measurement multi-product structure by using a suitable to take apart and to absorb way. (3) Use Arcs combination method for adjusting network graph with to reduce it complicated. (4) Use fuzzy compairs compare matrix technique to transform appropriate fuzzy weight value of the cost and time objectives furthermore multiplication on each arcs. (5) Use the dynamic planning and fuzzy ranking methods to solve the plants combined of shortest path. (6) Use shortest path to respond in original network to find out optimal results.
Finally, Use FSCNTPCO algorithm to solve not enough of information share in real situation is better than traditional methods. That could be effective to reduce cost and time. Besides, it measurement both of production manufacture and marketing demand with strotuct factor at the same time and then seem to not hardly find out the capacity limit will be a model solving key point. Ultimate, Let it provide a fit plants combined stratage under different marketing demand as to refer to in accordance with relation decision maker.
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