On flexible product-mix decision problems under randomness and fuzziness☆
On flexible product-mix decision problems under randomness and fuzziness☆
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DOI：
10.1016/j.omega.2008.07.005
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发表时间：
2009-08
影响因子：
6.9
通讯作者：
T. Hasuike;H. Ishii
中科院分区：
文献类型：
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作者：
T. Hasuike;H. Ishii
本文考虑了不确定条件下的产品组合决策问题和生产计划问题的几种模型，并指出这些模型是解决以往产品组合问题的扩展和通用模型。这些建议的模型包括随机性来自统计分析的基础上的历史数据，决策者的直觉和接收到的信息的质量的模糊性，并在完成原计划的灵活性。此外，鉴于一些约束的上限值具有灵活性，并给定决策者的满意度，我们提出了一个灵活的产品组合问题，使用约束理论（TOC），并开发了一个有效的解决方法。然后，我们提供了一个数值例子，比较我们的模型与以前的一些基本模型。当我们提出的模型被应用到几个条件，如可测量的变化，从未来回报的预期值的灵活性的效率。
This paper considers several models of product-mix decision problems and production planning problems under uncertain conditions, and shows that these are extensional and versatile models for resolving previous product-mix problems. These proposed models include randomness derived from statistical analysis based on historical data, ambiguity of decision maker's intuition and the quality of received information, and flexibility in accomplishing the original plan. Furthermore, given that the upper limit values of some constraints have flexibility, and given a decision maker's level of satisfaction, we propose a flexible product mix of problems using the theory of constraints (TOC), and develop an efficient solution method. We then provide a numerical example that compares our models with some previous basic models. Efficiency of flexibility is obtained when our proposed models are applied to several conditions, such as measurable changes from the expected value of future returns.