Developing a lower bound and strong heuristics for a truck scheduling problem in a cross-docking center

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摘要

Nowadays, with the economical worldwide developments, logistics have turned out to be a substantial issue and has its own specific importance with certain position. Hence, both declining time and decreasing costs of logistics are considered to be significant goals of the supply chain management. One of the procedures to attain these goals is using the cross-docking systems which has rarely been concerned by organizations despite its desirable performance. Besides, according to the recent related papers, utilizing both heuristics and metaheuristics to solve the problem is an interesting topic in this research area. So, in this paper, to find the optimal for receiving and shipping trucks sequence, we employ five metaheuristics along with hybrid one. Furthermore, two heuristics are firstly developed in this research area which generate better solutions in comparison with the previous ones proposed in the literature. Besides, Taguchi approach is employed to tune the parameters of algorithms. The results of the developed heuristics and metaheuristics are compared with each other and also with the results yielded by previous related works in terms of different criteria such as solution quality and computational run time. In addition, to probe the performance of the algorithms precisely, a new lower bound is developed.

论文关键词:Cross-docking,Truck scheduling,Heuristic,Hybrid metaheuristic,Lower bound

论文评审过程:Received 11 October 2016, Revised 29 April 2017, Accepted 8 May 2017, Available online 9 May 2017, Version of Record 12 June 2017.

论文官网地址:https://doi.org/10.1016/j.knosys.2017.05.006