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首页> 外文期刊>European Journal of Operational Research >Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP
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Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP

机译：基于鲁棒模糊LP的TOC产品组合决策启发式满意度的软感知

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Product-mix decision through theory of constraints (TOC) should take into account considerations like the decision-maker's (DM) level of satisfaction in order to make product-mix decision a robust one. Sensitivity of the decision made, needs to be focused for a bottle-neck-free, optimal product-mix solution of TOC problem. A membership function (MF) has been suitably designed in the present work, first in finding out the degree of imprecision in the product-mix decision, and thereafter to sense the level of satisfaction of the DM. Inefficiency of traditional linear programming (LP) in handling multiple-bottleneck problem through TOC has been discussed through an illustrative example. Comparison of traditional LP over fully fuzzified-LP (FLP) model has also been addressed to elucidate the advantages of FLP in TOC. Key objective of this work is to guide DMs in finding out the optimal product-mix with higher degree of satisfaction with lesser degree of fuzziness under tripartite fuzzy environment. (c) 2006 Elsevier B.V. All rights reserved.
机译：通过约束理论（TOC）进行产品组合决策时，应考虑决策者（DM）的满意度，以使产品组合决策更可靠。决策的敏感性需要集中在无瓶颈，最佳的TOC问题产品混合解决方案上。在当前工作中，已经适当地设计了隶属度函数（MF），首先是找出产品组合决策中的不精确度，然后才是DM的满意度。通过一个示例性实例讨论了传统线性规划（LP）在通过TOC处理多瓶颈问题方面的效率低下。还讨论了传统LP与完全模糊LP（FLP）模型的比较，以阐明FLP在TOC中的优势。这项工作的主要目的是指导DM在三方模糊环境下找到满意程度更高，模糊程度较小的最佳产品组合。 （c）2006 Elsevier B.V.保留所有权利。

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