Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty

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Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty

Yang, Kai / Yang, Lixing / Gao, Ziyou

Highlights • A new class of intermodal hub-and-spoke network design problems is presented. • A fuzzy random programming method as a decision-making tool is developed to model this problem. • A new approach method is proposed to derive equivalents of mathematical model. • A hybird multi-start simulated annealing algorithm is proposed to achieve more reliable solutions.

Abstract This paper addresses the planning and optimization of intermodal hub-and-spoke (IH&S) network considering mixed uncertainties in both transportation cost and travel time. Different from previous studies, this paper develops a novel modeling framework for the IH&S network design problem to jointly minimize the expected value of total transportation costs and the maximum travel time requirement in term of critical value. A new hybrid methodology by combining fuzzy random simulation (FRS) technique and multi-start simulated annealing (MSA) algorithm is designed to solve the proposed model. Numerical experiments are implemented to verify the effectiveness of the proposed model and solution approach.