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Title: Optimization of Multi-Period Rail Procurement Plan
Accession Number: 01764171
Record Type: Component
Abstract: Rail is one of the most expensive assets in railway infrastructure. Hence, a well-prepared rail procurement plan could benefit the asset management. For metro system in Taiwan, the rail procurement problem includes two major uncertainties, namely, currency rates and the global steel price. In this study, the authors propose a scenario-generation process, deterministic and stochastic optimization models, to minimize the expected cost of the rail procurement plan. Results demonstrate that the proposed model can successfully incorporate the uncertainties and obtain the optimal procurement plan. The sensitivity analysis on budget, storage capacity, and expiration period also provides the metro operator the best strategy to further lower the procurement cost. Adopting these models to rail procurement problems can improve the process and results of rail asset management.
Supplemental Notes: This paper was sponsored by TRB committee AR050 Standing Committee on Railroad Infrastructure Design and Maintenance.
Report/Paper Numbers: TRBAM-21-02170
Language: English
Corporate Authors: Transportation Research BoardAuthors: Shih, Hsin-ChengYeh, Chih-HengLai, Yung-Cheng (Rex)Pagination: 19p
Publication Date: 2021
Conference:
Transportation Research Board 100th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
(16)
; Tables
TRT Terms: Geographic Terms: Subject Areas: Economics; Operations and Traffic Management; Railroads
Source Data: Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-02170
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:21AM
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