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Article
Publication date: 1 January 2008

Adisak Theeranuphattana and John C.S. Tang

This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method has many…

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Abstract

Purpose

This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method has many advantages, it can be unwieldy in practice. This paper aims to address these limitations and to propose a more user‐friendly alternative performance measurement model.

Design/methodology/approach

The performance measurement model described in this paper is a combination of two existing methods: Chan and Qi's model and the supply chain operations reference (SCOR) model. To demonstrate the applicability of the combined approach, actual SCOR level 1 performance data and the measurement information from a case supply chain (SC) are collected and processed by Chan and Qi's measurement algorithm.

Findings

These two methods complement each other when measuring SC performance.

Originality/value

This paper develops a practical and efficient measurement model that can resolve SC performance problems by incorporating the strengths of two different measurement models to create a synergistic new model.

Details

Journal of Manufacturing Technology Management, vol. 19 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 24 October 2008

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Abstract

Details

Journal of Manufacturing Technology Management, vol. 19 no. 8
Type: Research Article
ISSN: 1741-038X

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