Quality Control System for the Locomotive Overhaul Process Based on Ant Colony Algorithm

When the locomotive system breaks down, it is hard to control the quality of the locomotive overhaul process using traditional network diagram, owing to the complexity of fault phenomena and fault reasons. Moreover, conventional method may lead to damage to some fault-free components easily. Ant col...

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Bibliographic Details
Published in2006 6th World Congress on Intelligent Control and Automation Vol. 2; pp. 7366 - 7370
Main Authors Jianjun Meng, Liwen Wang, Darui Yin, Wenzhe Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
ant colony algorithm
Ant colony optimization
Automation
Control systems
Electronic mail
Humans
Intelligent control
locomotive overhaul
Path planning
Quality control
resource allocation
Resource management
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Summary:When the locomotive system breaks down, it is hard to control the quality of the locomotive overhaul process using traditional network diagram, owing to the complexity of fault phenomena and fault reasons. Moreover, conventional method may lead to damage to some fault-free components easily. Ant colony algorithm (ACA) was adopted to improve the quality in the locomotive overhaul system. In view of the overhaul difficulty, occurrence probability, human resources and time resources in the traditional network diagram, the overhaul plan was optimized based on ant colony algorithm and resource allocation. The experiment results show the ACA-based system is effective for improving the efficiency and quality of the locomotive overhaul process
ISBN:9781424403325
1424403324
DOI:10.1109/WCICA.2006.1714517