A model for sector restructuring through genetic algorithm and inverse DEA

作者：

Highlights：

• A sector restructuring model by satisfying a global efficiency target

• Giving preference to merging DMUs over saving inputs

• The model combines Data Envelopment Analysis and Genetic Algorithm

• Two practical applications on Banking and Higher Education

摘要

•A sector restructuring model by satisfying a global efficiency target•Giving preference to merging DMUs over saving inputs•The model combines Data Envelopment Analysis and Genetic Algorithm•Two practical applications on Banking and Higher Education

论文关键词：Mergers,Restructuring,Inverse data envelopment analysis,Genetic algorithm,Cardinality constraint

论文评审过程：Received 1 September 2019, Revised 27 January 2020, Accepted 29 March 2020, Available online 14 April 2020, Version of Record 20 April 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113422