You can view the full text of this article for free using the link below.

Title: Berth allocation and quay crane-yard truck assignment considering carbon emissions in port area

Authors: Tingsong Wang; Man Li; Hongtao Hu

Addresses: School of Economics and Management, Wuhan University, Wuhan, 430072, China ' School of Economics and Management, Wuhan University, Wuhan, 430072, China ' College of Logistics Engineering, Shanghai Maritime University, Shanghai, 201306, China

Abstract: As environmental issues become increasingly prominent, the green port has been the focus of marine industry to sustain the development of global economy. Carbon emissions of port area mainly come from water area and land area of port. The effective resource allocation and equipment assignment can not only reduce the carbon emissions, but also improve the service efficiency. Thus, this paper considers the berth-quay crane-yard truck allocation problem (B-QC-YTAP) and formulates it as a multi-objective model, where the objectives are to minimise the total carbon emissions in port area, and minimise the average waiting time in port and departure delay for each vessel. To solve the proposed model as well as obtain the Pareto optimal solutions, the non-dominated sorting genetic algorithm II (NSGA-II) is also introduced. Finally, a numerical experiment is conducted to test the effectiveness of model and algorithm, followed by the trade-off analysis between the two objectives.

Keywords: B-QC-YTAP; carbon emissions; service efficiency; NSGA-II; multi-objective.

DOI: 10.1504/IJSTL.2019.099275

International Journal of Shipping and Transport Logistics, 2019 Vol.11 No.2/3, pp.216 - 242

Received: 06 Sep 2017
Accepted: 30 Mar 2018

Published online: 24 Apr 2019 *

Full-text access for editors Full-text access for subscribers Free access Comment on this article