Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

Energy-Saving Workshop Scheduling Method Based on Synchronous Optimization of Equipment Tasks and Interval States

Authors
Hong Cheng1, *, Shuo Zhu2, Zhigang Jiang1, Hua Zhang3, Wei Yan2
1Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China
2Key Laboratory of Metallurgical Machine and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, 430081, China
3Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China
*Corresponding author. Email: 2698078457@qq.com
Corresponding Author
Hong Cheng
Available Online 15 April 2025.
DOI
10.2991/978-94-6463-676-5_16How to use a DOI?
Keywords
Workshop Energy-saving Scheduling; Equipment Interval States Control; Synchronous Optimization; Improved WOMOA
Abstract

Task allocation and the control of equipment interval states significantly impact energy consumption in workshops, making them crucial for achieving overall energy savings. However, current asynchronous optimization methods face limitations due to the strong constraints imposed by task allocation on equipment state control. This study proposes a scheduling method that synchronously optimizes equipment tasks and interval state control. Firstly, the influence of equipment states (idle, standby, stop) on energy consumption is analyzed within different interval times resulting from task allocation. By examining the relationship between changes in equipment interval states and energy fluctuations, three energy-saving scheduling strategies that integrate state control are developed. Secondly, relevant variables related to interval states and energy consumption are extracted to establish an energy-saving scheduling model for synchronous optimization. An improved multi-objective whale optimization algorithm (MOWOA) is then designed, incorporating scheduling adjustments and energy-saving strategies into chromosome encoding to address the energy-saving scheduling model. Finally, a case study involving the machining of engine parts demonstrates the effectiveness of the proposed method. The results indicate that the generated Gantt chart accurately reflects both equipment task allocation and interval state control outcomes.

Copyright
© 2025 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.

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Volume Title
Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
15 April 2025
ISBN
978-94-6463-676-5
ISSN
2352-5428
DOI
10.2991/978-94-6463-676-5_16How to use a DOI?
Copyright
© 2025 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  - Hong Cheng
AU  - Shuo Zhu
AU  - Zhigang Jiang
AU  - Hua Zhang
AU  - Wei Yan
PY  - 2025
DA  - 2025/04/15
TI  - Energy-Saving Workshop Scheduling Method Based on Synchronous Optimization of Equipment Tasks and Interval States
BT  - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
PB  - Atlantis Press
SP  - 140
EP  - 146
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-676-5_16
DO  - 10.2991/978-94-6463-676-5_16
ID  - Cheng2025
ER  -