Evaluating Ecological Sustainable Performance Measures for Supply Chain Management

Chunguang Bai, Joseph Sarkis, Xiaopeng Wei, and Lenny Koh

Supply Chain Management: An International Journal, Vol. 17, No. 1, pp. 78-92, 2012.

Well managed organizations are consistently monitoring their supply chain utilizing effective performance measurement systems (PMS).  These PMS are still at developmental stages for most organizations.  Many issues exist to their appropriate development and application.  One of the most important issues is integrating environmental performance measures into the broader sustainability focus of supply chains.  Another issue is the determination and management of these performance measures.  Especially important is how to determine which performance measures are effectively monitoring the expected outcomes of management.  Monitoring and managing ecological and business/economic sustainability of supply chains adds greater complexity to PMS management.  This paper seeks to apply a grey based neighborhood rough set approach to help manage performance measures within the broader PMS environment. Methodologically, this is the first time that grey systems theory is integrated with neighborhood rough set theory.  We provide a conceptual application of the tool after introducing a variety of environmental and business performance measures for a supply chain environment.  These measures are developed based on the supply chain operations reference (SCOR) model. Insights into the application of the technique from both a research and managerial perspective are presented.


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