An integrated solution for benchmarking using DEA, gray entropy,and Borda count

摘要

The challenge of finding a system for effective benchmarking has recently become a key issue, as enterprises experience ever-increasing needs to struggle for competitive advantage and performance improvement in productivity. Identifying the best performer is the pivotal element in the process of benchmarking. In the search for the best performer, this paper proposes using the super-efficiency DEA model and the gray entropy scoring method to conduct the relevant efficiency evaluation and ranking, and using the Borda count to incorporate the ranked lists. The research findings show that the proposed solution can provide valuable insights as well as discover the best performer for informed analysis.