A fuzzy basis channel-spanning performance measurement method for supply chain management

Tung Sun Chan, H. J. Qi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)

Abstract

Nowadays supply chain management has gained a tremendous amount of attention from both academics and practitioners. It provides an innovative management technology in order to assist enterprises to survive in the ever-increasing business competition and to sustain competitive advantages. Although there is an ever-increasing amount of literature addressing theories and practices of supply chain management, the existing performance measurement methods fail to provide significant assistance in supply chain development and an effective method is lacking. The objective of this paper is to propose an innovative channel-spanning performance measurement method from a system perspective. Fuzzy set theory is introduced to address the real situation in the judgement and evaluation processes. A simple example is given. The whole framework of this method is outlined with some suggestions, which, if appropriately applied, aims to facilitate performance improvement of supply chains.
Original languageEnglish
Pages (from-to)1155-1167
Number of pages13
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume216
Issue number8
DOIs
Publication statusPublished - 23 Sep 2002
Externally publishedYes

Keywords

  • Fuzzy set theory
  • Performance measurement
  • Process-based model
  • Supply chain management
  • System perspective
  • Weighted average aggregation method

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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