Authors: Ahlam AlMarar; Ali Cheaitou
Addresses: Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates ' Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates; Sustainable Engineering Asset Management (SEAM) Research Group, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
Abstract: After the global economic crisis of 2008 the shipping companies have become more worried about keeping and increasing their profit. In this paper, a container liner service cargo flow, freight rates and sailing speed optimisation mixed integer nonlinear programming model is introduced, in which the total daily profit is maximised. The model focuses on the transportation of dry and reefer containers between a set of pre-established ports while the market sensitivity to the freight rates is considered. The model is implemented on a line of the Asia-Europe trade using the optimisation software LINGO 15.0. The results show the correlation that exists between the vessel carrying capacity and the level of freight rate to be charged to the shippers. They also confirm that all the model parameters affect the optimal profit, but only some of them have an effect on the optimal quantities to transport between the ports of the service.
Keywords: container liner services; maritime shipping; speed optimisation; freight rate; pricing; cargo flow; dry and reefer containers; nonlinear mixed integer programming; Asia-Europe trade; demand elasticity.
International Journal of Shipping and Transport Logistics, 2018 Vol.10 No.5/6, pp.533 - 566
Received: 09 Sep 2016
Accepted: 20 Jul 2017
Published online: 28 Sep 2018 *