Robust worst-practice interval DEA with non-discretionary factors

作者：

Highlights：

• A new robust worst-practice model is formulated.

• A numerical example and a case study are provided to validate the suggested model.

• Monte-Carlo simulation is used to select parameters for the suggested robust model.

摘要

•A new robust worst-practice model is formulated.•A numerical example and a case study are provided to validate the suggested model.•Monte-Carlo simulation is used to select parameters for the suggested robust model.

论文关键词：Worst-practice DEA,Interval DEA,Robust optimization,Supplier selection,Non-discretionary factors

论文评审过程：Received 27 April 2020, Revised 13 April 2021, Accepted 18 May 2021, Available online 24 May 2021, Version of Record 2 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115256