Abstract Demand uncertainty and route disruption risk are important problems confronting inland port decision makers. To design a robust and reliable inland port locations that interface with road, rail and river networks, this paper employs the methods of scenarios planning and malfunction probability approach with a hub location model. Three different models are developed, including a reliable inland port location model with deterministic demand, a robust and a stochastic inland port location model with uncertain demand. A hybrid simulated annealing - particle swarm algorithm is introduced for solving the problems. Computational results indicate that the proposed robust models perform efficiently in addressing inland port location problem. Moreover, the reliability of the inland port system is inversely proportional to the risk of path failure. Taking account of reliability plays a significant role in reducing the risk of loss to system participants.
FAN Houming,LI Caiyun,JIANG Xiaodan等. Inland Port Location Problem Considering Path Reliability and Demand Uncertainty[J]. Chinese Journal of Management, 2018, 15(8): 1256-.
