標題: Possibilistic programming in production planning of assemble-to-order environments
作者: Hsu, HM
Wang, WP
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: assemble-to-order;forecast demands;safety stock;possibility programming
公開日期: 1-Apr-2001
摘要: For the sake of alleviating the influences of demand uncertainty in assemble-to-order (ATO) environments, the strategies of regulating dealers' forecast demands, determining appropriate safety stocks, and deciding the numbers of key machines are usually adopted by manufacturers. In this paper, we propose a possibility linear programming model to manage these production planning problems. The proposed model accomplishes forecasting adjustments, material management, and production activities. Because of price fluctuations, material obsolescence, and the time value of, capital. the ambiguity of cost is considered in the objective function of the model. We substituted the fuzzy objective function with three crisp objectives: minimizing the most possible cost, maximizing the possibility of obtaining lower cost, and minimizing the risk of obtaining higher cost. Zimmermann's fuzzy programming method is then applied for achieving an overall satisfactory compromise solution. Finally, an example is given to illustrate our model. (C) 2001 Elsevier Science B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/S0165-0114(99)00086-X
http://hdl.handle.net/11536/29737
ISSN: 0165-0114
DOI: 10.1016/S0165-0114(99)00086-X
期刊: FUZZY SETS AND SYSTEMS
Volume: 119
Issue: 1
起始頁: 59
結束頁: 70
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