Publication | Closed Access
An innovative performance measurement method for supply chain management
477
Citations
31
References
2003
Year
Logistics ProcessesSupply Chain PerformanceEngineeringSmart ManufacturingPerformance MeasurementPerformance Measurement SystemsSustainable Supply Chain ManagementHolistic PerformanceManagementLogisticsSupply ChainSystems EngineeringSupply Chain ViabilityDecision MakingSupply Chain DesignSupply Chain ManagementManufacturing StrategySupply ManagementService Supply ChainBusinessSupply Chain AnalysisSupply Chain Configuration
Supply chain management is a widely studied field that offers a revolutionary approach to sustaining competitiveness, yet current performance measurement theories lack the support needed for strategy, decision making, and improvement. This paper proposes an innovative performance measurement method aimed at advancing supply chain management. The method adopts a process‑based systematic perspective, incorporates fuzzy set theory to reflect real‑world judgment, and presents a framework with practical suggestions and a simple example.
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.
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