期刊
ANNALS OF OPERATIONS RESEARCH
卷 311, 期 2, 页码 899-920出版社
SPRINGER
DOI: 10.1007/s10479-020-03600-0
关键词
Flexible job shop scheduling; Multi-objective programming; Simulation; Multi-agent systems; Transportation
资金
- Normandy region
- European Union
This paper proposes a new dynamic algorithm based on simulation approach and multi-objective optimization to solve the FJSP with transportation assignment. The results obtained from the computational experiments have shown that the proposed approach is efficient and competitive.
This paper proposes a new dynamic algorithm based on simulation approach and multi-objective optimization to solve the FJSP with transportation assignment. The objectives considered in scheduling jobs and transportation tasks in a flexible job shop manufacturing system include makespan, robot travel distance, time difference with due date and critical waiting time. The results obtained from the computational experiments have shown that the proposed approach is efficient and competitive.
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