A conceptual model of performance measurement for supply chains

Felix T.S. Chan; H. J. Qi; H. K. Chan; Henry C.W. Lau; Ralph W.L. Ip

doi:10.1108/00251740310495568

A conceptual model of performance measurement for supply chains

Felix T.S. Chan, H. J. Qi, H. K. Chan, Henry C.W. Lau, Ralph W.L. Ip

Research output: Journal Publication › Article › peer-review

157 Citations (Scopus)

Abstract

Supply chain management (SCM) has gained a tremendous amount of attention from both industries and researchers since the last decade. Until now, there are numerous papers, articles, and reports that address SCM, but there is still a lack of integration between the existing performance measurement methods and practical requirements for the SCM. An innovative performance measurement method is proposed to provide necessary assistance for performance improvement in SCM. The proposed method will address this purpose in these four aspects: a simplified supply chain model; tangible and intangible performance measures in multiple dimensions; a cross-organizational performance measurement; and fuzzy set theory and weighted average method.

Original language	English
Pages (from-to)	635-642
Number of pages	8
Journal	Management Decision
Volume	41
Issue number	7
DOIs	https://doi.org/10.1108/00251740310495568
Publication status	Published - 1 Sept 2003
Externally published	Yes

Keywords

Fuzzy logic
Performance measures
Supply chain management
Systems analysis

ASJC Scopus subject areas

General Business,Management and Accounting
Management Science and Operations Research

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10.1108/00251740310495568

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abstract = "Supply chain management (SCM) has gained a tremendous amount of attention from both industries and researchers since the last decade. Until now, there are numerous papers, articles, and reports that address SCM, but there is still a lack of integration between the existing performance measurement methods and practical requirements for the SCM. An innovative performance measurement method is proposed to provide necessary assistance for performance improvement in SCM. The proposed method will address this purpose in these four aspects: a simplified supply chain model; tangible and intangible performance measures in multiple dimensions; a cross-organizational performance measurement; and fuzzy set theory and weighted average method.",

keywords = "Fuzzy logic, Performance measures, Supply chain management, Systems analysis",

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AU - Qi, H. J.

AU - Chan, H. K.

AU - Lau, Henry C.W.

AU - Ip, Ralph W.L.

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AB - Supply chain management (SCM) has gained a tremendous amount of attention from both industries and researchers since the last decade. Until now, there are numerous papers, articles, and reports that address SCM, but there is still a lack of integration between the existing performance measurement methods and practical requirements for the SCM. An innovative performance measurement method is proposed to provide necessary assistance for performance improvement in SCM. The proposed method will address this purpose in these four aspects: a simplified supply chain model; tangible and intangible performance measures in multiple dimensions; a cross-organizational performance measurement; and fuzzy set theory and weighted average method.

KW - Fuzzy logic

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KW - Systems analysis

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A conceptual model of performance measurement for supply chains

Abstract

Keywords

ASJC Scopus subject areas

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