Supply chain management has become such a popular topic in modern business management and researches. It brings the revolutionary philosophy and approach to manage the business with the sustained competitiveness. However, the existing performance measurement theory fails to provide its necessary support in strategy development, decision making, and performance improvement. This paper attempts to propose an innovative performance measurement method to contribute to the development of supply chain management. A process-based systematic perspective is employed to build an effective model to measure the holistic performance of complex supply chains. Fuzzy set theory is introduced to address the real situation in judgment and evaluation processes. The main framework of this method is outlined with some suggestions and a simple example.

Nowadays more than ever, supply chain management has gained a tremendous amount of attention from both the academic and practitioner communities. It provides a revolutionary management philosophy to cope with the increasing business competition and economy globalization. However, there exist many puzzles, especially in structure mapping and analysis, and performance measurement. The objective of this paper is to propose a process‐based approach to mapping and analyzing the practically complex supply chain network. Via this approach, a process‐based performance measurement system is proposed, in which a method called performance of activity is used to identify the performance measures and metrics.

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.

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