EVALUATION OF SUPPLY CHAIN PERFORMANCE USING AN INTEGRATED TWO-STEP CLUSTERING AND INTERVAL TYPE-2 FUZZY TOPSIS METHOD: A CASE STUDY

Year 2019, , 141 - 160, 24.10.2019

Mehmet Erdem , Turan Erman Erkan

https://doi.org/10.30794/pausbed.457187

Cited By: 1

Abstract

Supply chain
management (SCM) is an important issue for many of the researchers and
organizations that have been tackling with it for improving their performance within
different perspectives. Various metrics and decision making methodologies have
been proposed to evaluate supply chain (SC) performance in different sectors.
This paper introduces an integration of the Two-Step Clustering and the
interval type-2 (IT2) Fuzzy TOPSIS method for SC performance evaluation processes.
In the first step of the proposed integrated approach, Two-Step Clustering
analysis (CA) is employed not only for homogenous segmentation of sectors, but
also to decrease the dimension of the problem. After obtaining the results, IT2
Fuzzy TOPSIS is used for the evaluation of each company within its cluster. The
results of the integrated approach propose a macro perspective on some of the
issues such as organizational efficiency and performance. Moreover, the results
have shown valuable insight that each company has the opportunity to evaluate
itself both against rivals within clusters and inter-sectoral rivals.

Keywords

Supply chain performance evaluation, Two-Step Clustering

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