Possibilistic programming in production planning of assemble-to-order environments
Possibilistic programming in production planning of assemble-to-order environments
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DOI：
10.1016/s0165-0114(99)00086-x
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发表时间：
2001-04-01
影响因子：
3.9
通讯作者：
Wang, WP
中科院分区：
文献类型：
--
作者：
Hsu, HM;Wang, WP
为了减轻ATO环境下需求不确定性的影响，制造商通常采用调整经销商预测需求、确定适当的安全库存、确定关键设备数量等策略。在本文中，我们提出了一个可能性线性规划模型来管理这些生产计划问题。所提出的模型完成预测调整，物料管理和生产活动。由于价格波动，材料陈旧，和时间价值，资本。模型的目标函数考虑了成本的模糊性。我们用三个明确的目标代替模糊目标函数：最小化最可能的成本，最大化获得较低成本的可能性，最小化获得较高成本的风险。Zimmermann的模糊规划方法，然后应用于实现一个整体满意的妥协解决方案。最后，给出了一个例子来说明我们的模型。(C)2001 Elsevier Science B.V.保留所有权利。
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.