Application of fuzzy multi-objective linear programming on outsourcing cost-effective analysis with due-date and quantity factors

• Main Authors: HUANG, SHIH-YAN, 黃仕諺
• Other Authors: WANG, EARL-JUEI
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/45671297473946371279

碩士 === 國立屏東科技大學 === 工業管理系所 === 96 === With the trend towards specialization in outsourcing and the division of labor, the application 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, outsourcing production has tended to be treated as minimizing cost or profit maximization of the overall production. This meant that other key factors of the topic has been lacking. This study therefore approached from a capacity planning perspective, issues such as outsourcing capacity constraints and cost-effectiveness premise. 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 another goals, minimizing cost of delivery delays. 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 sensitivity analysis of the relevant decision-making parameters of the single and fuzzy multi-objective goal, and can be used as a reference in outsourcing production operations.