A rough set approach on supply chain dynamic performance measurement

  • Authors:
  • Pei Zheng;Kin Keung Lai

  • Affiliations:
  • College of Business Administration, Hunan University, Changsha, China;College of Business Administration, Hunan University, Changsha, China and Department of Management Science, City University of Hong Kong, Hong Kong

  • Venue:
  • KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
  • Year:
  • 2008

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Abstract

Most of the times, traditional supply chain performance measurement is a static method. However, in the real world, the supply chain is a dynamic system, which needs dynamic performance measurement methods. For the sake of integrative performance measurement of agile virtual enterprise, the traditional Balanced Scorecard is extended into 5 dimensions. According to it, incorporated with the Rough Set theory, the decision table of dynamic performance measurement is constructed. The decision rule set of performance measurement prediction is obtained by attribute reduct and value reduct of decision table. Finally, a calculation example of performance measurement is provided, which shows that the suggested evaluation method is feasible and efficient for dynamic performance measurement and forecasts. Thus, it supplies reasonable analysis and policy making tools for supply chain management.