Title: A multi-objective approach to analyse the effect of fuel consumption on ship routing and scheduling problem

Authors: Saurabh Pratap; Mengdi Zhang; Christopher L.D. Shen; George Q. Huang

Addresses: Department of Mechanical Engineering, PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India ' Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong ' Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong ' Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong

Abstract: This paper investigates the impact of fuel consumption on ship routing and scheduling problem. In current trends, the anthropogenic emission due to excess fuel consumption is a topic of intense debate in the global world ship trading society. We have modelled a problem as a mixed integer nonlinear programming (MINLP), which encounters the issues related to routing, fuel consumption, and customer demand. A meta-heuristic approach controlled elitist non-sorting genetic algorithm (CENSGA) has been proposed to solve the bi-objective problem. Finally, the utility of the model is demonstrated by a case study.

Keywords: carbon emission; ship routing; mixed integer nonlinear programming; meta-heuristic.

DOI: 10.1504/IJSTL.2019.099270

International Journal of Shipping and Transport Logistics, 2019 Vol.11 No.2/3, pp.161 - 175

Received: 08 Mar 2017
Accepted: 20 Jul 2017
Published online: 24 Apr 2019 *