Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/59191
Title: Risk management in liner ship fleet deployment: A joint chance constrained programming model
Authors: Wang, T.
Meng, Q. 
Wang, S.
Tan, Z.
Keywords: Joint chance constraint
Liner ship fleet deployment
Sample average approximation
Uncertain demand
Issue Date: Dec-2013
Citation: Wang, T., Meng, Q., Wang, S., Tan, Z. (2013-12). Risk management in liner ship fleet deployment: A joint chance constrained programming model. Transportation Research Part E: Logistics and Transportation Review 60 : 1-12. ScholarBank@NUS Repository.
Abstract: This paper provides a tangible methodology to deal with the liner ship fleet deployment problem aiming at minimizing the total cost while maintaining a service level under uncertain container demand. The problem is first formulated as a joint chance constrained programming model, and the sample average approximation method and mixed-integer programming are used to deal with it. Finally, a numerical example of a liner shipping network is carried out to verify the applicability of the proposed model and solution algorithm. It is found that the service level has significant effect on the total cost. © 2013 Elsevier Ltd.
Source Title: Transportation Research Part E: Logistics and Transportation Review
URI: http://scholarbank.nus.edu.sg/handle/10635/59191
ISSN: 13665545
Appears in Collections:Staff Publications

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