A bi-objective flexible flow shop scheduling problem with machine-dependent processing stages: Trade-off between production costs and energy consumption

作者：

Highlights：

• Machine-dependent processing stages is investigated as a realistic condition in flexible flow shop scheduling problem.

• A novel bi-objective optimization model is developed to formulate the considered problem and to make a trade-off between energy consumption and production costs.

• A new solution approach is proposed based on non-dominated sorting genetic algorithm (NSGA-II) to solve the problem.

摘要

•Machine-dependent processing stages is investigated as a realistic condition in flexible flow shop scheduling problem.•A novel bi-objective optimization model is developed to formulate the considered problem and to make a trade-off between energy consumption and production costs.•A new solution approach is proposed based on non-dominated sorting genetic algorithm (NSGA-II) to solve the problem.

论文关键词：Scheduling,Flexible flow shop,Machine-dependent processing stages,Unrelated parallel machines,Energy consumption,Production costs

论文评审过程：Received 22 April 2020, Revised 7 July 2020, Accepted 12 July 2020, Available online 23 July 2020, Version of Record 23 July 2020.

论文官网地址：https://doi.org/10.1016/j.amc.2020.125533