Research on intelligent scheduling method for EMU train high-level maintenance

Rongjia Yan; Decang Li; Ruogu Jia

doi:10.1117/12.3039231

5 August 2024 Research on intelligent scheduling method for EMU train high-level maintenance

Rongjia Yan, Decang Li, Ruogu Jia

Proceedings Volume 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024); 132261A (2024) https://doi.org/10.1117/12.3039231
Event: 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 2024, Changsha, China

Abstract

Traditional high-level maintenance work organization of EMU mainly relies on manual scheduling, which has problems such as low efficiency and difficulty in inheritance. In order to improve the efficiency of maintenance operations, a scheduling model and scheduling optimization algorithm based on artificial intelligence for EMU Train High-level Maintenance are designed. On the basis of traditional workshop scheduling optimization, taking into account the order relationship of production processes, the high-level maintenance scheduling optimization model of EMU is established with the constraints of maintenance process flow. In view of the characteristics of complex order relationship constraints in the model, a smart optimization algorithm suitable for high-level maintenance scheduling of EMU is designed. Through case analysis of high-level maintenance operations in a certain domestic EMU depot, the effectiveness of the model and algorithm is verified. The results show that the intelligent maintenance process adopted in this paper can effectively reduce the maintenance time in the high-level maintenance depot of EMU, Compared with the traditional maintenance process, it can save 17.6% of the maintenance time, and at the same time significantly increase the number of synchronous maintenance tasks for high-level maintenance of EMU, thereby improving the efficiency of maintenance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rongjia Yan, Decang Li, and Ruogu Jia "Research on intelligent scheduling method for EMU train high-level maintenance", Proc. SPIE 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 132261A (5 August 2024); https://doi.org/10.1117/12.3039231

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available