Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11988
Title: Two-stage stochastic integer programming model for multiperiod sea cargo mix problem in container shipping industry
Authors: Ang, JSK
Cao, C
Parlar, M
Ye, HQ 
Keywords: Container shipping industry
Heuristic algorithm (HA)
Sea cargo mix
Two-stage stochastic integer program
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, 2009, v. 39, no. 2, p. 460-465 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
Abstract: In this paper, we consider the cargo mix problem under uncertainty in the container shipping industry. We seek to determine the optimal cargo mix in a multiperiod planning horizon with the objective of maximizing the total expected profit derived from all freight bookings received in the planning horizon. We present a two-stage stochastic integer programming model and propose a heuristic algorithm for multiperiod sea cargo mix problem under uncertainty. Finally, numerical experiments on a wide range of randomly generated problem instances are conducted to demonstrate the efficiency of the algorithm.
URI: http://hdl.handle.net/10397/11988
ISSN: 1083-4427
EISSN: 1083-4419
DOI: 10.1109/TSMCA.2008.2010754
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