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Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty |
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| Affiliation: | 1. Department of Industrial Engineering, TOBB University of Economics and Technology, Ankara, Turkey;2. Department of Management Sciences, University of Waterloo, Waterloo, Ontario, Canada;1. Concordia University, Montreal H3G 1M8, Canada;2. Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Montreal, Canada;3. HEC Montréal, Montreal, Canada;4. Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran;1. Department of Applied Social Sciences, Federal Center of Technological Education of Minas Gerais, 30510-000 Belo Horizonte, Brazil;2. Department of Industrial Engineering, Federal University of São Carlos, 13565-905 São Carlos, Brazil;3. Department of Industrial Engineering, Federal University of Minas Gerais, 31270-921 Belo Horizonte, Brazil |
| 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. |
| Keywords: | Intermodal hub-and-spoke network Mixed uncertainty Fuzzy random variable Multi-start simulated annealing algorithm Fuzzy random simulation |
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