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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 Board

Authors:

Shih, Hsin-Cheng
Yeh, Chih-Heng
Lai, Yung-Cheng (Rex)

Pagination:

19p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References (16) ; Tables

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