基于超启发式算法的可重构装配车间调度

Translated title of the contribution: Reconfigurable assembly shop scheduling based on hyper heuristics algorithms

Jiapeng Zhang, Cunbo Zhuang, Jianhua Liu, Lele Zhao, Lin Li, Fengque Pei*, Haoxin Guo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The reconfigurable assembly stations, the multi-skill workers and the multiTevel assembly Operations show a strong relationship when dealing with the assembly scheduling problem. In view of the lack of scheduling models that consider the above three key capabilities, a reconfigurable assembly shop scheduling model based on the hyper heuristic algorithm was proposed. The correlation of the reconfiguration switching time, regular/key process requirements and personnel/equipment correction factor were quantitative characterization. By using the hyper heuristic algorithm, the multi-scheduling rule would be fitted and the optimal scheduling scheme was iteratively opti-mized with evolutionary operators. The small/large batch instances and the case study of a satellite assembly Workshop were drop in to verify the effectiveness and efficiency of the hyper heuristic algorithm, by reducing the mean/ maximum value of the makespan, the delay time, the assembly time and reconfiguration time in the scheduling.

Translated title of the contributionReconfigurable assembly shop scheduling based on hyper heuristics algorithms
Original languageChinese (Traditional)
Pages (from-to)399-410
Number of pages12
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume31
Issue number2
DOIs
Publication statusPublished - 28 Feb 2025

Fingerprint

Dive into the research topics of 'Reconfigurable assembly shop scheduling based on hyper heuristics algorithms'. Together they form a unique fingerprint.

Cite this