A full ranking methodology in data envelopment analysis based on a set of dummy decision making units

作者：

Highlights：

• We propose a full ranking methodology in DEA based on five dummy DMUs.

• The core of our approach is a new linear program.

• We produce common weights for full ranking of the DMUs

• Three literature examples have been tested and examined.

• The new method produces a rationale ranking compared with literature methods.

摘要

•We propose a full ranking methodology in DEA based on five dummy DMUs.•The core of our approach is a new linear program.•We produce common weights for full ranking of the DMUs•Three literature examples have been tested and examined.•The new method produces a rationale ranking compared with literature methods.

论文关键词：Data envelopment analysis,Performance evaluation,Linear programming,Heuristics,Ranking,Relative closeness (RC)

论文评审过程：Received 4 January 2016, Revised 26 October 2016, Accepted 25 January 2017, Available online 2 February 2017, Version of Record 13 February 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.042