OPTIMIZATION OF ENERGY EFFICIENCY AND RISK ASSESSMENT FOR ITS IMPLEMENTATION IN MARINE MULTIMODAL ECO-ORIENTED TRANSPORTATION
Abstract
Introduction. The article addresses the urgent issue of energy efficiency optimization in maritime multimodal transportation amidst current environmental and economic challenges. Facing stricter IMO emission requirements and rising fuel costs, shipowners need not only new technologies but also reliable tools to assess the risks of their implementation. The article focuses on a methodological approach to making well-founded managerial decisions. Aims. The article aims to substantiate the use of SWOT analysis as a methodological tool for the analytical assessment of risks and opportunities when implementing energy-saving technologies. The feasibility of using fuel additives is examined as a case study to test this method – a technologically accessible measure, the effectiveness of which, however, depends on many factors and requires a comprehensive pre-implementation analysis. Results. The article focuses on a practical decision-making tool – SWOT analysis. It is demonstrated that this method allows for a comprehensive assessment of the strengths and weaknesses of using fuel additives (e.g., fuel savings vs. additive costs), as well as external opportunities and threats (stricter environmental regulations vs. the emergence of low-quality products). To enhance objectivity, a quantitative interpretation of the analysis was performed, yielding an overall positive rating of 0.158, which indicates the viability of implementing the technology under the considered conditions. Conclusions. The proposed approach complements existing methods for assessing energy efficiency by providing shipowners with a structured tool for making informed decisions under conditions of multifactorial uncertainty. It has been proven that SWOT analysis is an effective means for evaluating operational, economic, and environmental risks, fully aligning with modern management requirements in maritime transport and applicable to the analysis of other innovative technologies.
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