NDLI: Model and algorithm for a liner ship fleet planning problem with uncertain container shipment demand

Content Provider	IEEE Xplore Digital Library
Author	Tingsong Wang Pengjun Zheng Zhiyuan Liu
Copyright Year	2012
Description	Author affiliation: Facutly of Maritime and Transportation, Ningbo University, China (Tingsong Wang; Pengjun Zheng) \|\| Department of Civil and Environmental Engineering, National University of Singapore, Singapore (Zhiyuan Liu)
Abstract	This paper deals with a short-term liner ship fleet Planning (LSFP) problem with container shipment demand uncertainty. Assuming that container shipment demand between any two ports on each ship route follows a normal distribution, this paper develops an integer linear programming model with chance constraints for the LSFP problem and proposes a two-phase heuristic algorithm for solving the large-scale LSFP instances. Finally, numerical examples are used to show application of the proposed model and evaluate the performance of the two-phase heuristic algorithm.
Starting Page	202
Ending Page	207
File Size	879828
Page Count	6
File Format	PDF
ISBN	9781467301084
e-ISBN	9781467301107
DOI	10.1109/ICMIT.2012.6225805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-11
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	chance constrained programming model Uncertainty two-phase heuristic algorithm Transportation Companies Containers Programming liner ship fleet planning problem Planning Marine vehicles
Content Type	Text
Resource Type	Article

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