A simulation-based optimal design and analysis method for designing a train overhaul maintenance facility
This paper presents a simulation-based optimal design and analysis method for designing a train overhaul maintenance facility. Because the train is composed of one or more cars, the authors design the simulation model after analysing the operation of the train according to the train's following parts: train, car, car body, and wheel. The authors consider the critical (dependent) factors and design (independent) parameters for the simulation analysis. Therefore, multi-criteria decision making (MCDM) is proposed for selecting alternatives, and simulation optimization is used for finding the optimal design parameters of the selected alternative. A case study for the above approach is applied to the electric locomotive overhaul maintenance facility. This paper provides a comprehensive framework for a train overhaul maintenance facility design using MCDM and the simulation optimization.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09544097
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Supplemental Notes:
- Reprinted by permission of Sage Publications, Ltd.
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Authors:
- Um, I S
- Cheon, H J
- Lee, H C
- Publication Date: 2011-9
Language
- English
Media Info
- Media Type: Print
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 523-539
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Serial:
- Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
- Volume: 225
- Issue Number: 5
- Publisher: Sage Publications Limited
- ISSN: 0954-4097
- EISSN: 2041-3017
- Serial URL: http://pif.sagepub.com/content/current
Subject/Index Terms
- TRT Terms: Electric locomotives; Inspection; Maintenance facilities; Multiple criteria decision making; Optimization; Railroad facility operations; Simulation
- Subject Areas: Maintenance and Preservation; Railroads; Terminals and Facilities; Vehicles and Equipment; I61: Equipment and Maintenance Methods; I95: Vehicle Inspection;
Filing Info
- Accession Number: 01357566
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 29 2011 1:43PM