A static semi-kitting strategy system of JIT material distribution scheduling for mixed-flow assembly lines

作者：

Highlights：

• Studied a JIT material distribution scheduling problem with energy consideration.

• Proposed a MBCGSA algorithm by combining the GSA and NSGA-II as the framework.

• Developed memory search and chaotic strategy weighing exploration and exploitation.

• Provided a double-layer solution codification and a two-step repairing mechanism.

摘要

•Studied a JIT material distribution scheduling problem with energy consideration.•Proposed a MBCGSA algorithm by combining the GSA and NSGA-II as the framework.•Developed memory search and chaotic strategy weighing exploration and exploitation.•Provided a double-layer solution codification and a two-step repairing mechanism.

论文关键词：Material distribution,Mixed-flow assembly lines,Just-in-Time,Energy consumption,Static semi-kitting strategy,Gravitational search algorithm

论文评审过程：Received 1 February 2021, Revised 16 May 2021, Accepted 29 June 2021, Available online 3 July 2021, Version of Record 7 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115523