A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry

作者：

Highlights：

• The hybrid flow shop scheduling problem for the transformer industry is presented.

• The real-world constraints of nighttime and simultaneous work are considered.

• A hybrid three-phase algorithm is formulated to minimize total tardiness.

• Experimental results show that the proposed algorithm outperforms previous methods.

摘要

•The hybrid flow shop scheduling problem for the transformer industry is presented.•The real-world constraints of nighttime and simultaneous work are considered.•A hybrid three-phase algorithm is formulated to minimize total tardiness.•Experimental results show that the proposed algorithm outperforms previous methods.

论文关键词：Hybrid flow shop scheduling problem,Nighttime work,Simultaneous work,Genetic algorithm,Local search,Transformer industry

论文评审过程：Available online 28 March 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.03.012