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Stochastic resource allocation for containerized cargo transportation networks when capacities are uncertain

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  • Wang, Xinchang

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.

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  • Wang, Xinchang, 2016. "Stochastic resource allocation for containerized cargo transportation networks when capacities are uncertain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 334-357.
    • Handle: RePEc:eee:transe:v:93:y:2016:i:c:p:334-357
    DOI: 10.1016/j.tre.2016.06.004
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    Cited by:

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    6. Liang, Jinpeng & Ma, Zhongyuan & Wang, Shuang & Liu, Haitao & Tan, Zhijia, 2024. "Dynamic container slot allocation with empty container repositioning under stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    7. Wang, Tingsong & Tian, Xuecheng & Wang, Yadong, 2020. "Container slot allocation and dynamic pricing of time-sensitive cargoes considering port congestion and uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    8. Bhattarai, Santosh & Golias, Mihalis M. & Mishra, Sabyasachee & Talebian, Ahmadreza, 2020. "Multidimensional resource allocation for freight transportation project planning and decision making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 95-110.

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