Robust scheduling based on extreme learning machine for bi-objective flexible job-shop problems with machine breakdowns

作者：

Highlights：

• The predictive scheduling addresses the FJSP with machine breakdowns.

• A robust measure based on operation’s workload and slack time and machine breakdowns.

• The importance of each operation’s slack time is automatically adjusted by the ELM.

摘要

•The predictive scheduling addresses the FJSP with machine breakdowns.•A robust measure based on operation’s workload and slack time and machine breakdowns.•The importance of each operation’s slack time is automatically adjusted by the ELM.

论文关键词：Flexible job-shop problem,Machine breakdowns,Surrogate measure,Extreme learning machine

论文评审过程：Received 26 May 2019, Revised 7 April 2020, Accepted 8 May 2020, Available online 16 May 2020, Version of Record 27 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113545