Energy-efficient flexible flow shop scheduling with worker flexibility

作者：

Highlights：

• Energy-efficient flexible flow shop scheduling with worker flexibility is studied.

• Green production, processing time and human related objectives are considered.

• A hybrid evolutionary algorithm (HEA) is proposed to solve the problem.

• A total of 54 benchmarks are used to test the performance of the HEA.

• Results show that the HEA is superior in terms of solution quality and efficiency.

摘要

•Energy-efficient flexible flow shop scheduling with worker flexibility is studied.•Green production, processing time and human related objectives are considered.•A hybrid evolutionary algorithm (HEA) is proposed to solve the problem.•A total of 54 benchmarks are used to test the performance of the HEA.•Results show that the HEA is superior in terms of solution quality and efficiency.

论文关键词：Flexible flow shop scheduling,Hybrid evolutionary algorithm,Green production,Human factors,Multi-objective optimization

论文评审过程：Received 2 April 2019, Revised 2 August 2019, Accepted 26 August 2019, Available online 28 August 2019, Version of Record 24 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112902