Paper
2 February 2023 A heuristic optimization approach for ship block painting operation scheduling
Ziyan Liu, Zuhua Jiang, Jianmin Niu, Wenjuan Yu
Author Affiliations +
Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124621J (2023) https://doi.org/10.1117/12.2661052
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
The workload of the block painting stage accounts for the largest proportion of the ship painting, so its operation scheduling directly affects the painting quality and efficiency. In this paper, the scheduling problem of ship block painting operation is investigated. The problem can be regarded as a variant of the flexible job-shop scheduling problem. The mathematical model is developed considering a variety of practical constraints, including space size constraints, multiple spray-painting constraints, and waiting time constraints between processes. To effectively solve the problem, we propose a hybrid meta-heuristic to combine the merits of genetic algorithm and tabu search. We conduct numerical experiments on actual production data instances of different scales. The results show that our hybrid approach has significant advantages over the baseline algorithms.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ziyan Liu, Zuhua Jiang, Jianmin Niu, and Wenjuan Yu "A heuristic optimization approach for ship block painting operation scheduling", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124621J (2 February 2023); https://doi.org/10.1117/12.2661052
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Genetic algorithms

Surface finishing

Chemical elements

Mathematical modeling

Oxidation

Raw materials

Space operations

Back to Top