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Breeding Particle Swarm Optimization for Railways Rolling Stock Preventive Maintenance Scheduling
Research and Development: Ministry of Transport, Cairo, Egypt
Faculty of Graduate Studies for statistical Research, Department: Management & Operations Research, Cairo University, Cairo, Egypt
- 1 Research and Development: Ministry of Transport, Cairo, Egypt
- 2 Faculty of Graduate Studies for statistical Research, Department: Management & Operations Research, Cairo University, Cairo, Egypt
American Journal of Operations Research·Volume 11 (2021)·Pages 242–251·Published 2 September 2021·DOI10.4236/ajor.2021.115015
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Abstract
The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op timization problem and a proper predictive maintenance scheduling table sh ould be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algor ithm (GA) operators to design this table. The practical experiment shows th at our model reduces cost while increasing reliability compared to other models previously utilized.
KeywordsRailways Rolling StockPredictive Maintenance Scheduling TableMulti Objective Optimization ProblemBreeding Particle Swarm Optimization
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