Authors: Cheng-Chieh Chen; Paul Schonfeld
Addresses: Graduate Institute of Logistics Management, National Dong Hwa University, 1, Sec. 2, Da Hsueh Rd., Shou-Feng, Hualien, 974, Taiwan ' Department of Civil and Environmental Engineering, University of Maryland, College Park, College Park, MD 20742, USA
Abstract: This paper specifies a mixed integer nonlinear programming problem (MINLP) for assisting intermodal logistics operators with coordination decisions in freight transfer scheduling. An optimisation model is developed for coordinating vehicle schedules and cargo transfers at intermodal freight terminals, which is done primarily by optimising coordinated service frequencies and slack times, while also considering loading and unloading, storage and cargo processing operations. A hybrid technique combining sequential quadratic programming and genetic algorithms (GA-SQP) is developed to solve the proposed MINLP. This study also provides flexibility in managing general and perishable cargos with different cargo value functions that depend on dwell times. In a case study we derive insights which support intermodal logistics operators in planning their freight service schedules. Numerical results indicate that the developed algorithm is capable of producing optimal solutions efficiently for both small and large intermodal freight networks.
Keywords: intermodal logistics; schedule coordination; hybrid heuristic algorithm; genetic algorithm; sequential quadratic programming; SQP.
International Journal of Shipping and Transport Logistics, 2017 Vol.9 No.4, pp.475 - 499
Received: 23 Jul 2015
Accepted: 26 Jan 2016
Published online: 30 Jun 2017 *