| Summary: | 碩士 === 國立屏東科技大學 === 工業管理系所 === 95 === With the trend towards specialization in outsourcing and the division of labor, the use of outsourced capacity is now considered a method for regulating production capacity. It also plays an indispensable part in businesses decision-making process for return on investments. In capacity outsourcing planning, assemble-to-order production has tended to be treated as an individual topic of research. Usually the outsourcing and manufacturing policy is assessed before the associated supplier and purchasing problems are resolved. This meant that an overall examination of the topic has been lacking. This study therefore approached from a capacity planning perspective, issues such as internal manufacturing capacity conditions, outsourcing capacity constraints and economies of scale. Linear Mixed-Integer Planning (LMIP) was then used as the basis of the framework to pursue the minimization of cost. Due to the fuzzy decision-making environment that exists in practice, this study went on to construct a fuzzy goal programming model that uses as its three major goals the total cost, cost of investment in new capacity and cost from loss in quality. Using a fuzzy planning and decision method, we defined the membership functions that correspond to each fuzzy goal then simultaneously solved the interdependent fuzzy goal problem. The model’s feasibility were then verified and tested including the different fuzzy goal combinations and the sensitivity analysis of the relevant decision-making parameters. This provided a meaningful improvement to the model’s calculation efficiency and management logic that can be used as a reference in assemble-to-order production operations.
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