App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 8

Flexible Job-Shop dynamic scheduling problem with fuzzy quality control time

Zhang Xiaonan1
Jiang Shuai1
Wang Luyu1
Gong Jialong1
Li Yang2
1. School of Mechanical & Electrical Engineering, Shaanxi University of Science & Technology, Xian Shaanxi 710021, China
2. School of economics & management, Liaoning Petrochemical University, Fushun Liaoning 113001, China
DOI: 10.19734/j.issn.1001-3695.2023.11.0575

Abstract

To solve the flexible job-shop dynamic scheduling problem with fuzzy quality control time, which is more realistic, this paper establishes two rescheduling models with the objective of minimizing completion time. Two models are for three failure scenarios: "emergency order insertion", "machine failure during no-load operation, " and "machine failure during work-piece processing". To solve this model, this paper design a novel genetic-neighborhood search algorithm that integrates cellular-automata-based neighborhood search and random restart hill-climbing. Aiming at the characteristics of dual sub-decisions involving order sequencing and machine selection, it design a two-layer coding scheme including process code and machine code, and design corresponding genetic operations such as crossover and mutation for them. After that, it apply the genetic operations into the framework of a cellular-automata-based neighborhood search to enhance the algorithm's global search capability, and integrate the random restart hill-climbing algorithm based on key operations to improve the algorithm's local development capability. Experiments test 10 flexible job-shop scheduling instances and one flexible job-shop scheduling instance with fuzzy quality control time to verify the effectiveness of the proposed algorithm and models. In addition, it test different failure scenarios and the test results show the proposed method outperforms the backward-based scheduling strategy used in practice.

Foundation Support

陕西省社会科学基金资助项目(2022R002)
国家自然科学基金资助项目(71802120)
教育部人文社会科学研究青年基金资助项目(23XJCZH019,20YJC630070)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0575
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 8

Publish History

[2024-02-05] Accepted Paper

Cite This Article

张晓楠, 姜帅, 王陆宇, 等. 考虑模糊质检时间的柔性作业车间动态调度问题 [J]. 计算机应用研究, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0575. (Zhang Xiaonan, Jiang Shuai, Wang Luyu, et al. Flexible Job-Shop dynamic scheduling problem with fuzzy quality control time [J]. Application Research of Computers, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0575. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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