Stochastic resource allocation for containerized cargo transportation networks when capacities are uncertain
Xinchang Wang
Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 93, issue C, 334-357
Abstract:
We consider the stochastic resource allocation problem for containerized cargo transportation with uncertain capacities and network effects, in which a freight operator needs to allocate a certain amount of capacity to each product to maximize the expected profit. We formulate the problem as a constrained stochastic programming model and provide theoretical results that completely characterize the optimal solution to the model under a special case. Under a general case, we build an approximation model of the problem and propose a sampling based algorithm to solve the approximation model. A number of numerical experiments are offered to test the algorithm.
Keywords: Containerized cargo transportation; Stochastic resource allocation; Uncertain capacity; Revenue management; Network effects; Random demands (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:93:y:2016:i:c:p:334-357
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DOI: 10.1016/j.tre.2016.06.004
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