Stochastic service network design with rerouting

Bai, Ruibin and Wallace, Stein W. and Li, Jingpeng and Chong, Alain Yee-Loong (2014) Stochastic service network design with rerouting. Transportation Research Part B: Methodological, 60. pp. 50-65. ISSN 0191-2615

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Abstract

Service network design under uncertainty is fundamentally crucial for all freight transportation companies. The main challenge is to strike a balance between two conflicting objectives: low network setup costs and low expected operational costs. Together these have a significant impact on the quality of freight services. Increasing redundancy at crucial network links is a common way to improve network flexibility. However, in a highly uncertain environment, a single predefined network is unlikely to suit all possible future scenarios, unless it is prohibitively costly. Hence, rescheduling is often an effective alternative. In this paper, we proposed a new stochastic freight service network design model with vehicle rerouting options. The proposed model explicitly introduces a set of integer variables for vehicle rerouting in the second stage of the stochastic program. Although computationally more expensive, the resultant model provides more options (i.e. rerouting) and flexibility for planners to deal with uncertainties more effectively. The new model was tested on a set of instances adapted from the literature and its performance and characteristics are studied through both comparative studies and detailed analyses at the solution structure level. Implications for practical applications are discussed and further research directions are also provided.

Item Type: Journal Article
Journal or Publication Title: Transportation Research Part B: Methodological
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/3300/3313
Subjects:
Departments: Lancaster University Management School > Management Science
ID Code: 70023
Deposited By: ep_importer_pure
Deposited On: 18 Jul 2014 23:03
Refereed?: Yes
Published?: Published
Last Modified: 22 Feb 2020 07:05
URI: https://eprints.lancs.ac.uk/id/eprint/70023

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