Abstract
ABSTRACTAs technical incentives, Ship Energy Efficiency Management Plan and Energy Efficiency Design Index, became the guidance for shipping companies in low-carbon shipping (LCS) integration. Despite the diversity of LCS measures, a mechanism to prioritize them is still urgently required from the view of shipping stakeholders. This paper developed a LCS measures prioritization mechanism for vessels relied on the combination of Fuzzy-based Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) and Fuzzy Quality Function Deployment (FQFD) so as to facilitate the treatment of uncertainties, thus realizing effective quantitative analysis of the LCS measures. Four performance aspects of LCS measures including ecological, reputation and competitive advantage, economic, and certainty level were analyzed and used for suitableness assessment, whereas weights of prioritizing criteria were determined by FQFD, alternatives were prioritized by FTOPSIS to build up a list of ranked LCS measures. The illustration example based on collected data of six alternatives was carried out to validate the feasibility of the methodology in prioritizing LCS measures. The outcomes can be used either as a stand-alone technique for prioritizing or as part of an integrated decision-making method for evaluating the effectiveness of chosen LCS measures.
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