Abstract

In 2014, the ship world fleet grew by 3.5% and reached a total of 1.69 billion DWT that consisted of 89 464 vessels including bulk carriers, oil tankers and container carriers. Consequently, it produces a growth of fuel consumption and Green House Gas (GHG) emissions at sea. Therefore, the concerns of ship owners to implement alternatives solutions to improve the fleet efficiencies are growing. Although, ship owners are facing barriers to implement energy efficiency technologies mainly due to reliability, financial and economic constraints as well as complexity of change. Therefore, it is important to undertake actions that will optimize actual system with small investments. Nowadays, several ship owners use on-board data measurements systems that collect navigation and propulsion information of their ships. The information gathered is available to assess the performance of their fleets. This thesis develops a mathematical model to assess fleet ship performance using a database of 13 ships with 6844 daily navigation reports. This model use criteria based on speed, ship delivery date, gross tonnage, specific fuel oil consumption, admiralty coefficient, emissions quantity (CO2, SOX and NOX), ship work, and cargo quantity. Multi Criteria Decision Analysis (MCDA) and Data Envelopment Analysis (DEA) are combined in order to assist the ship owner in the improvement of the performance of their fleet. The outcomes give an efficiency outranking of the ships inside a fleet in a way that best and worst ships are identified at any moment. The results suggest that this new methodology can provide a multicriteria decision framework to ship owners avoiding engineer's subjectivity. These findings offer a new way to address efficiency and performance in ship management.