Title: Simultaneous optimisation of seaside operations in container terminals: a case study of the Iranian Rajaee port
Authors: Seyed Farzad Hoseini; Mohammad Mohammadpour Omran; Adolfo Crespo Márquez; Ahmad Makui
Addresses: Department of Industrial Engineering, Iran University of Science and Technology, Narmak 16844, Tehran, Iran ' Department of Industrial Engineering, Iran University of Science and Technology, Narmak 16844, Tehran, Iran ' Department of Industrial Management, School of Engineering, University of Seville, Camino de los Descubrimientos s/n. 41092, Seville, Spain ' Department of Industrial Engineering, Iran University of Science and Technology, Narmak 16844, Tehran, Iran
Abstract: In marine transport, there is a growing need for optimisation surveys, which are aimed at increasing the efficiency of the whole process. In this study, the berth allocation problem, the quay crane assignment problem and the quay crane scheduling problem are simultaneously formulated into an integrated mathematical model. Afterwards, the proposed mixed integer mathematical model is coded via GAMS IDE/CPLEX software. The exact solver appears to need a huge amount of time to find the optimum solution, even for small and medium-sized problems. Hence, artificial intelligence, which is embedded in both imperialist competitive and genetic algorithms, is employed through a highly modified meta-heuristic method. This method is called a 'hybrid imperialist competitive and genetic algorithm' (HICGA) and is designed to deal with the complexity of such problems. To check the validity of the proposed model and the performance of the designed HICGA method, historical data for 24 weeks from the Iranian Rajaee port were provided.
Keywords: container terminal; berth allocation problem; quay crane assignment problem; quay crane scheduling problem; imperialist competitive algorithm; genetic algorithm.
International Journal of Shipping and Transport Logistics, 2018 Vol.10 No.5/6, pp.587 - 617
Received: 28 Nov 2016
Accepted: 20 Jul 2017
Published online: 28 Sep 2018 *