A Proposed Rule-based bayesian Reasoning Appoarch for Analysing Steaming Modes on Containerships

Abstract

Super slow steaming can make savings on fuel consumption and bunker fuel cost while also releasing fewer greenhouse gas emissions. The sustainability of this speed is beneficial when the bunker fuel price is high enough to offset the additional costs of operating the vessel and the additional inventory costs. A Rule-based bayesian Reasoning model is therefore proposed for analysing the necessity of super slow steaming speed under uncertainty. The outcomes can be used by shipping companies to determine a suitable steaming speed in a dynamic operational environment.