Title: Integrating route optimisation with vehicle and unloading dock scheduling in LCL cargo collection
Authors: Xuefei Liu; Meifeng Luo; Yifei Zhao
Addresses: Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong ' Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong ' Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, China
Abstract: Less container load (LCL) has become an increasingly important element in containerised cargo export, due to the involvement of numerous small and medium size enterprises. Traditional cargo collection and consolidation processes are extremely complex and inefficient, which provides an excellent opportunity for improvement through integration. In this paper, we design a two-stage model comprising vehicle route optimisation for cargo collection and vehicle and unloading dock scheduling. In the first stage, namely, the route optimisation model, the Clarke-Wright saving algorithm is used, with the objective of minimising the total transport cost for a given shipment size, weight, and capacity constraint of cargo collection vehicles. In the second stage, the scheduling of both collection vehicles and unloading dock are modelled, using two sub-models for given constraints on the time window of the unloading docks and cargo collection routes. An application of this integrated model is illustrated based on the cargo collection problems in the hinterland of Shanghai port.
Keywords: cargo collection; less container load; LCL; route optimisation; vehicle dispatching; unloading dock scheduling; integrated scheduling.
International Journal of Shipping and Transport Logistics, 2019 Vol.11 No.2/3, pp.262 - 280
Received: 15 Jun 2017
Accepted: 09 Nov 2017
Published online: 17 Apr 2019 *