Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain
Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain
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DOI：
10.1016/j.ejor.2011.03.022
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发表时间：
2011-08
期刊：
影响因子：
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通讯作者：
Shian-Jong Chuu
中科院分区：
文献类型：
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作者：
Shian-Jong Chuu
随着全球竞争的迅速加剧和向供应链层面的转移，供应链的柔性变得越来越重要。然而，关于供应链灵活性的文献仍然有限。因此，本研究建立了供应链管理发展中柔性的群决策结构模型。本研究提出了一个供应链柔性评价框架，该框架包括两个部分，一个是具有柔性维度和相关度量的评价层次，另一个是一个采用三阶段过程来评价供应链柔性的评价方案。在此基础上，本文提出了一种基于模糊语言的供应链柔性程度确定算法。对供应链柔性程度的评价可以确定提高供应链柔性的必要性，并将供应链柔性的具体维度确定为最好的改进方向。这项研究的结果更加客观和公正，原因有两个。首先，通过交互式共识分析，通过群决策生成结果。其次，本研究中使用的模糊语言学方法比其他方法更能保持信息的不丢失。此外，本研究通过一个案例研究来说明所提出方法的有效性，并将其与其他方法进行比较。
With global competition rapidly intensifying and shifting to the supply chain level, the supply chain flexibility has become increasingly important. However, the literature addressing supply chain flexibility remains limited. This study thus builds a group decision-making structure model of flexibility in supply chain management development. This study presents a framework for evaluating supply chain flexibility comprising two parts, an evaluation hierarchy with flexibility dimensions and related metrics, and an evaluation scheme that uses a three-stage process to evaluate supply chain flexibility. This study then proposes an algorithm for determining the degree of supply chain flexibility using a fuzzy linguistic approach. Evaluations of the degree of supply chain flexibility can identify the need to improve supply chain flexibility, and identify specific dimensions of supply chain flexibility as the best directions for improvement. The results of this study are more objective and unbiased for two reasons. First, the results are generated by group decision-making with interactive consensus analysis. Second, the fuzzy linguistic approach used in this study has more advantage to preserve no loss of information than other methods. Additionally, this study presents an example using a case study to illustrate the availability of the proposed methods and compare it with other methods.