In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

Serial multi-workshop scheduling method based on mappo algorithm

Yan Junyu1,2
Wu Mengwu1,2
1. School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China
2. State Key Laboratory of Light Superalloys, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2025.07.0238

Abstract

To address the complexity of dynamic environment and difficulty in production scheduling in serial multi-workshop, a scheduling optimization method based on multi-agent deep reinforcement learning was proposed. The scheduling process was modeled as a Markov decision process, two types of agents (machine selection and AGV scheduling) were designed, and a multi-agent collaborative scheduling framework for workshops was constructed. An asynchronous update mechanism was introduced to improve the MAPPO (Multi-Agent Proximal Policy Optimization) algorithm for better adaptability, and a workshop simulation model was built with Plant Simulation to realize collaborative optimization between the MAPPO algorithm and the simulation model. Experiments were conducted in an equipment manufacturing factory under different task scales and disturbance scenarios. The results show that the proposed method outperforms traditional scheduling rules, genetic algorithms, and mainstream multi-agent algorithms in terms of makespan, resource utilization, and load balancing, demonstrating good adaptability and stability.

Foundation Support

教育部创新团队计划资助项目(XDQCKF2021011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.07.0238
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-26] Accepted Paper

Cite This Article

闫俊宇, 吴孟武. 基于MAPPO算法的串行多车间调度方法 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0238. (Yan Junyu, Wu Mengwu. Serial multi-workshop scheduling method based on mappo algorithm [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0238. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)