Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/14967
Title: A revenue management model for sea cargo
Authors: SIM MONG SOON
Keywords: Revenue Management, Sea Cargo, Liner Industry, Stochastic Dynamic Programming, Sampled Average Approximation, Mixed integer programming
Issue Date: 31-Oct-2005
Citation: SIM MONG SOON (2005-10-31). A revenue management model for sea cargo. ScholarBank@NUS Repository.
Abstract: We introduce a revenue management model for the ocean carrier. The two classes of order, namely the ad hoc orders and the contractual orders, may arrive at each time instance and each class of order consists of a random amount of containers. If a container from the contractual order is accepted, the carrier can either deliver it by the first ship leaving the port or postpone the delivery to the next ship on the shipping schedule. Under this situation, we formulate the problem as a stochastic dynamic programming model and prove that a non-increasing threshold policy exists which gives an optimal solution to the problem. We next propose various heuristics to determine the stationary threshold policy.
URI: http://scholarbank.nus.edu.sg/handle/10635/14967
Appears in Collections:Ph.D Theses (Open)

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