Breeding Particle Swarm Optimization for Railways Rolling Stock Preventive Maintenance Scheduling - American Journal of Operations Research

AJOR > Vol.11 No.5, September 2021

American Journal of Operations Research

Volume 11, Issue 5 (September 2021)

ISSN Print: 2160-8830 ISSN Online: 2160-8849

Google-based Impact Factor: 0.84 Citations

Breeding Particle Swarm Optimization for Railways Rolling Stock Preventive Maintenance Scheduling ()

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Download as PDF (Size: 512KB) PP. 242-251

DOI: 10.4236/ajor.2021.115015 191 Downloads 879 Views Citations

Author(s)

Tarek Aboueldah¹, Hanan Farag²

Affiliation(s)

¹Research and Development: Ministry of Transport, Cairo, Egypt.
²Faculty of Graduate Studies for statistical Research, Department: Management & Operations Research, Cairo University, Cairo, Egypt.

ABSTRACT

The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective optimization problem and a proper predictive maintenance scheduling table should be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algorithm (GA) operators to design this table. The practical experiment shows that our model reduces cost while increasing reliability compared to other models previously utilized.

KEYWORDS

Railways Rolling Stock, Predictive Maintenance Scheduling Table, Multi Objective Optimization Problem, Breeding Particle Swarm Optimization

Share and Cite:

Aboueldah, T. and Farag, H. (2021) Breeding Particle Swarm Optimization for Railways Rolling Stock Preventive Maintenance Scheduling. American Journal of Operations Research, 11, 242-251. doi: 10.4236/ajor.2021.115015.

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