A multi-objective approach to analyse the effect of fuel consumption on ship routing and scheduling problem. (17th April 2019)

• Record Type: Journal Article
• Authors: Pratap, Saurabh; Zhang, Mengdi; Shen, Christopher L.D.; Huang, George Q.
• Is Part Of: International journal of shipping and transport logistics. Volume 11:Number 2/3(2019)
• Page Start: 161
• Page End: 175
• Publication Date: 2019-04-17
• Subjects: carbon emission -- ship routing -- mixed integer nonlinear programming -- meta-heuristic; Shipping -- Periodicals; Shipping -- Statistics; Logistics -- Periodicals; 387.5
• Languages: English
• ISSNs: 1756-6517

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.