Determining the optimal collaborative benchmarks in a supply chain

作者：Li Der Chiang^*; Dai Wen Li

来源：International Journal of Production Research, 2009, 47(16): 4457-4471.

DOI：10.1080/00207540801918588

• supply chain collaboration performance
• data envelopment analysis
• sensitivity analysis
• robust benchmarks

Supply chains are currently considered dynamic systems and will change with time and with the environment. Thus, the performance of a supply chain system will not only be influenced by the determined measuring factors but also by the adding or withdrawal of enterprises. Faced with these unstable systems, this study employs the Data Envelopment Analysis and sensitivity analysis methods in order to measure supply chain collaborative performance as well as relative individual company performance. This approach principally aims at finding: (1) an effective collaborative performance evaluation method that can cover the measuring factors admitted by all chain members; (2) the robust benchmark companies for closely related chain members. The results of this research clearly show the expected study target that will benefit chain members in performance improvement.

• 出版日期2009