Optimal decision making for emissions reduction measures for Italian container terminals
Autor: | Monica Canepa, Alessandro Schönborn, Aykut I. Ölçer, Seyedvahid Vakili, Davide Sciutto, Fabio Ballini |
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Rok vydání: | 2021 |
Předmět: |
050210 logistics & transportation
020209 energy Mechanical Engineering As is Supply chain 05 social sciences Ocean Engineering 02 engineering and technology Environmental economics Reduction (complexity) 0502 economics and business Container (abstract data type) 0202 electrical engineering electronic engineering information engineering Business Global logistics Optimal decision |
Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 236:283-300 |
ISSN: | 2041-3084 1475-0902 |
DOI: | 10.1177/14750902211027680 |
Popis: | The importance of sea ports in the global logistics maritime supply chain and it connectivity is increasing, as is the focus on optimizing daily operational activities and minimizing the negative impact on society. One of the most significant negative externalities for sea ports is air pollution that remain one the main concern and environmental priority for Port Authorities and Government and their strategic policies. The growth of containerization in the shipping industry stimulates the demand for infrastructure development and increased energy use. This paper strives to propose the best alternative sources of energy to transit from traditional fuel to the greener ones for two important container terminals in Italy. The analyses focus on energy consumption of the most important container terminals Voltri and La Spezia in Italy and analysed using alternative sources of energy. Based on the priorities chosen by twelve experts, the cost, societal and environmental criteria are assigned the highest weight respectively. The Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) techniques are used, to identify the best alternative sources of energy. |
Databáze: | OpenAIRE |
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