The location-allocation model for multi-classification-yard location problem

Boliang Lin, Siqi Liu, Ruixi Lin, Jiaxi Wang, Min Sun, Xiaodong Wang, Chang Liu, Jianping Wu and Jie Xiao

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 122, issue C, 283-308

Abstract: This paper proposes a bi-level programming model for the multi-classification-yard location (MCYL) problem. The upper-level is intended to find an optimal establishment or improvement strategy for candidate nodes with a budget constraint, which is involved with the selection of potential yard locations and the determination of yard size and capacity. The lower-level aims to obtain the least costly plan of railcar reclassification considering yard classification capacity and tracks, on the basis of the strategy given by the upper-level. A simulated annealing (SA) algorithm is then applied to solve the MCYL problem of a large-scale China railway network.

Keywords: Classification yard; Location-allocation problem; Bi-level programming model; Simulated annealing; Rail network (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tre.2018.12.013

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