Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23698
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Stochastic service network design with rerouting
Authors: Bai, Ruibin
Wallace, Stein W
Li, Jingpeng
Chong, Alain Yee-Loong
Contact Email: jli@cs.stir.ac.uk
Keywords: Service network design
Stochastic programming
Transportation logistics
Rerouting
Issue Date: Feb-2014
Publisher: Elsevier
Citation: Bai R, Wallace SW, Li J & Chong AY (2014) Stochastic service network design with rerouting, Transportation Research - Part B - Methodological, 60, pp. 50-65.
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.
Type: Journal Article
URI: http://hdl.handle.net/1893/23698
DOI Link: http://dx.doi.org/10.1016/j.trb.2013.11.001
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: University of Nottingham Ningbo China
Norwegian School of Economics (NHH)
Computing Science - CSM Dept
University of Nottingham Ningbo China

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