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GREEN SHIPPING AND SELECTION OF THE MOST SUITABLE SHIP TYPE

GREEN SHIPPING AND SELECTION OF THE MOST SUITABLE SHIP TYPE

Abstract

The maritime industry stands at a critical crossroads where economic efficiency must be balanced with environmental responsibility. As global trade continues to expand, the need for sustainable maritime transportation systems has become more urgent than ever. Green ship applications—ranging from alternative fuels and energy-efficient technologies to digitalization and environmentally conscious design—represent a strategic pathway toward reducing the ecological footprint of shipping while maintaining operational competitiveness. This book aims to contribute both academically and practically to this transformation. By employing integrated Multi-Criteria Decision Making (MCDM) methods—FAHP, FTOPSIS, FVIKOR, and FPROMETHEE—the study provides a systematic framework for evaluating green ship practices and selecting the most suitable vessel type. The findings not only enrich the existing literature but also offer actionable insights for real-world decisionmaking in maritime operations. The authors hope that this work will be particularly beneficial for maritime students, who seek to build a strong conceptual and analytical foundation, as well as for maritime professionals striving to implement sustainable strategies in their organizations. By bridging theory and practice, the book aspires to serve as a useful reference for education, research, and maritime applications.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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