Research on flexible job-shop scheduling problem considering equipment preventive maintenance

Hao Ding; Haigen Yang; Yan Ge

doi:10.1117/12.3046619

27 September 2024 Research on flexible job-shop scheduling problem considering equipment preventive maintenance

Hao Ding, Haigen Yang, Yan Ge

Author Affiliations +

Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 132613C (2024) https://doi.org/10.1117/12.3046619
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China

Abstract

In response to the Flexible Job Shop Scheduling Problem (FJSP) with consideration of equipment preventive maintenance, this paper proposes a discrete Jaya algorithm. The algorithm is initialized by randomly generating machine selection codes and operation processing order codes. Subsequently, it employs POX (Partially-Mapped Crossover) and MPX (Multi-Parent Crossover) methods for crossover and updating. Then, Pareto sorting is used to help identify non-dominated solutions that achieve a balance between multiple objective functions, generating a Pareto front that meets the output requirements. Following this, experiments are conducted, and the results of the proposed discrete Jaya algorithm are compared with those of the Genetic Algorithm (GA), Simulated Annealing Algorithm (SA), and Particle Swarm Optimization (PSO) to verify its performance in solving the makespan (Cmax). The results demonstrate that the discrete Jaya algorithm designed in this paper has achieved superior solutions in terms of Cmax, reflecting the algorithm's effectiveness and global optimization capabilities. Additionally, corresponding high-quality Gantt charts are provided.

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

Citation Download Citation

Hao Ding, Haigen Yang, and Yan Ge "Research on flexible job-shop scheduling problem considering equipment preventive maintenance", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 132613C (27 September 2024); https://doi.org/10.1117/12.3046619

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