A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers

被引:294
作者
Patil, Sachin K. [1 ]
Kant, Ravi [1 ]
机构
[1] SV Natl Inst Technol, Dept Mech Engn, Surat 395007, India
关键词
Knowledge Management; Supply Chain; AHP; TOPSIS; SYSTEM; PERFORMANCE; SELECTION; METHODOLOGY; NETWORKS; BUSINESS; POWER;
D O I
10.1016/j.eswa.2013.07.093
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of KM adoption in SC and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and fuzzy TOPSIS method is used to obtain final ranking of the solutions of KM adoption in SC. The empirical case study analysis of an Indian hydraulic valve manufacturing organization is conducted to illustrate the use of the proposed framework for ranking the solutions of KM adoption in SC to overcome its barriers. This proposed framework provides a more accurate, effective and systematic decision support tool for stepwise implementation of the solutions of KM adoption in SC to increase its success rate. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:679 / 693
页数:15
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