Economics, Law and Management - Research article Open Access Logo

APPLYING CFMAE METHOD TO BUILD A SUPPLY CHAIN PERFORMANCE ASSESSMENT SYSTEM IN TEXTILE INDUSTRY IN HO CHI MINH CITY

Thanh Van Vo 1, *
Trung Quoc Pham 2
  1. The faculty of Mechanical Engineering, HCMC University of Technology, VNU-HCM
  2. SCHOOL OF INDUSTRIAL MANAGEMENT - HCM CITY UNIVERSITY TECHNOLOGY, VNU-HCM
Correspondence to: Thanh Van Vo, The faculty of Mechanical Engineering, HCMC University of Technology, VNU-HCM. Email: pvphuc@vnuhcm.edu.vn.
Volume & Issue: Vol. 17 No. 4 (2014) | Page No.: 69-82 | DOI: 10.32508/stdj.v17i4.1545
Published: 2014-12-31

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral and fuzzy analysis hierarchy process – FAHP) was conducted to build a supply chain performance measurement system in textile industry with general attributes. The study has constructed a supply chain performance measurement system in textile industry in Ho Chi Minh City with suitable attributes. The weight of attributes is determined as a general viewpoint of the industry of the importance of the attributes to the supply chain performance. In terms of practicality, this paper provides an approach in the performance measurement for the textile supply chain that serves as a framework for a centralized and effective improvement. The scientific meaning of this paper is the application of the fuzzy logic in economics and management to eliminate the subjectivity in the decision making process.

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