A Modular Working Vessel Decision Support System for Fuel Consumption Reduction

Jan Corfixen Sørensen, Marie Lutzen (), Stig Eriksen () and Jens Brauchli Jensen ()
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Jan Corfixen Sørensen: University of Southern Denmark, Campusvej 55 5230 Odense M, Denmark
Marie Lutzen: University of Southern Denmark, Campusvej 55 5230 Odense M, Denmark
Stig Eriksen: Svendborg International Maritime Academy, Graaesvej 27 5700 Svendborg, Denmark
Jens Brauchli Jensen: Svendborg International Maritime Academy, Graaesvej 27 5700 Svendborg, Denmark

International Journal of Information Technology & Decision Making (IJITDM), 2022, vol. 21, issue 03, 969-997

Abstract: Even though that there has been increasing focus on the energy-efficient operation of vessels and that the knowledge of cost-effective improvements is widespread in the industry, energy-efficient operation is only a minor topic on board many working vessels. A significant reduction in fuel can be achieved through changes in the operational practices, but to establish a successful system for best practices within energy-management the installation of a decision support system is essential. This article presents a decision support system for working vessels to determine best practice for the reduction of fuel consumption. Requirements for the system are defined through interviews with crew and observations on board vessels. Case studies are used for illustrating the usefulness. The use of generators onboard is analyzed using the software. It is found that the generators are not running optimally, but the crew can use the software to re-organize and find the most fuel-efficient loading range for the generators on board.

Keywords: Shipping; information technology; decision support system; component-based software engineering (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219622022500109

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