A fuzzy goal programming for aggregate production planning model with imprecise preemptive priority

• Main Authors: Yu-Hsuan Lin, 林育萱
• Other Authors: Liang-Hsuan Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/18975241539332350692

碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 96 === Given the uncertainty in the production environment, this paper discusses a goal programming approach to modeling multi-product aggregate production planning (APP) problems with fuzzy goals. The proposed model addresses the problem for an international company which has many manufacturing factories around the world, and considers the production loading plans subject to certain restrictions. The three goals in the proposed model are maximizing total profits, minimizing the inventory level and minimizing the cost of changes in the workforce level. In goal programming, the two most widely used approaches to treating the relative importance among the goals are weighted GP and preemptive priority GP. However, both approaches may be too restrictive in the modeling of real life decision making problems. In this paper, the hierarchical levels of the goals are imprecisely defined by fuzzy relations, and an additive function is used, which takes into account both the achievement degrees of the goals and the degrees of satisfaction of the fuzzy importance relations.