Dynamic Scheduling Study of Flexible Job Shop Considering Machine Failure Rate
Authors
Wenmin Han1, *, Zhuoya Feng1, Jiahui Cai1
1Institute of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
*Corresponding author.
Email: wlmh63@163.com
Corresponding Author
Wenmin Han
Available Online 31 October 2023.
- DOI
- 10.2991/978-2-38476-126-5_6How to use a DOI?
- Keywords
- flexible job shop; production disturbance; rescheduling; MOABC
- Abstract
For the flexible job shop dynamic scheduling problem, set machine priorities based on machine failure rates, a scheduling model with the objective of minimizing the maximum completion time and machine load balance ratio is established, and an improved ABC algorithm is designed to solve it. An external solution set is introduced in the iterative optimization stage of the algorithm to realize the solution of the ABC algorithm for multiple objectives. The effectiveness of the optimal scheduling algorithm is verified by the classical flexible job shop scheduling problem.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenmin Han AU - Zhuoya Feng AU - Jiahui Cai PY - 2023 DA - 2023/10/31 TI - Dynamic Scheduling Study of Flexible Job Shop Considering Machine Failure Rate BT - Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023) PB - Atlantis Press SP - 42 EP - 47 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-126-5_6 DO - 10.2991/978-2-38476-126-5_6 ID - Han2023 ER -