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

Zhibin Wu (), Jiuping Xu () and Zeshui Xu
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Zhibin Wu: Sichuan University
Jiuping Xu: Sichuan University
Zeshui Xu: Sichuan University

Annals of Operations Research, 2016, vol. 247, issue 2, No 17, 735-757

Abstract: Abstract 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.

Keywords: Group decision making; The 2-tuple fuzzy linguistic model; Consensus process; Entropy method; Lean practice (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s10479-015-1788-6

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