英文摘要 |
Over the past decade, international logistics has grown in popularity. Route choice combined with transfer terminal selection has been recognized as one of the great challenges faced by international logistics carriers. Efficient intermodal logistics systems can significantly reduce transportation costs in global business, thereby also increasing the vehicles utilization rates, improving the utilization of existing transportation infrastructure, enhancing the system resilience, reducing the dwell time and storage requirements of freight at transfer terminals, and providing higher service level. Several previous studies focus on intermodal freight transfer schedule in attempting to estimate it as a fixed time window; however, the estimated unloading, loading, and cargo processing time (i.e. transfer impedance) may vary depending on the number of routes interconnecting and the utilization rate of the processing equipment inside the terminal. The study starts from a typical transportation network routing approach and then incorporates nonlinear time dependent cargo value functions into a multi-objective mixed integer nonlinear programming (MMINLP) problem. The studied MMINLP model is developed for jointly minimizing the total system costs and total transportation time based on routes selection results, while at the same time optimizing the choice of transfer terminals connecting to different modes. |