A multiple attribute group decision making framework for the evaluation of lean practices at logistics distribution centers

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• 作者：Zhibin Wu ; Jiuping Xu ; Zeshui Xu
• 关键词：Group decision making ; The 2 ; tuple fuzzy linguistic model ; Consensus process ; Entropy method ; Lean practice
• 刊名：Annals of Operations Research
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：247
• 期：2
• 页码：735-757
• 全文大小：
• 刊物类别：Business and Economics
• 刊物主题：Operation Research/Decision Theory; Combinatorics; Theory of Computation;
• 出版者：Springer US
• ISSN：1572-9338
• 卷排序：247

文摘

In recent years, to adapt rapidly to changing market environments and outdo the competition more companies and organizations have adopted lean management practices. One problem that has arisen in these companies and organizations is the need to develop methods to accurately evaluate the lean practices performance. This study proposes a multiple attribute group decision making (MAGDM) framework to facilitate such evaluations. It deals with the consensus process and selection process for MAGDM problems based on the 2-tuple linguistic computation model. The similarity degree and consensus for the linguistic decision matrix are defined using an Euclidian distance function. An algorithm describing the consensus reaching process is presented and its properties analyzed. The entropy method is generalized to a linguistic setting to derive the importance weights for the attributes. One of the main ideas behind the entropy method is that attributes with quite different values are considered more important and therefore have higher weights. Finally, the developed MAGDM framework is applied to a lean practices evaluation problem for a commercial tobacco company’s logistics distribution centers in China.