Application of the transdisciplinary shipyard energy management framework by employing a fuzzy multiple attribute group decision making technique toward a sustainable shipyard: case study for a Bangladeshi shipyard
Application of the transdisciplinary shipyard energy management framework by employing a fuzzy multiple attribute group decision making technique toward a sustainable shipyard: case study for a Bangladeshi shipyard
Shipbuilding is an energy-intensive industrial sector that produces a significant amount of waste, pollution and air emissions. However, the International Maritime Organization concentrates only on reducing emissions during the operational phase. In order to completely phase out emissions from the shipping industry, a life-cycle approach must be taken. The study implemented the proposed transdisciplinary energy management framework in a Bangladeshi shipyard. The framework aims to support shipyard decision makers in making rational and optimized decisions to make shipyards sustainable, while maintaining good product quality and reducing relative cost. This is achieved by applying the Fuzzy Analytical Hierarchy Process and Fuzzy Order of Preference by Similarity to Ideal Solution methods to identify optimal solutions. In addition to making shipyards more sustainable, the framework can enhance both the business and socio-economic prospects of the shipyard and promote the reputation of the shipyard and improve its competitiveness and, in line with this, lead to the promotion of nationally determined contributions under the Paris Agreement for States. The implementation of the framework shows that the political and legal discipline, the social criteria and the implementation of ISO 14001 and cyber security were the most important criteria and options for the yard's decision makers.
Vakili, Seyedvahid
87fcd634-ca9f-466c-93b4-0432809e5287
Schönborn, Alessandro
e2452f6c-50aa-4ff2-97fc-385d9ea20dbe
Ölçer, Aykut I.
bb77f4c4-c8a5-4757-a9cf-3b511d5da592
26 September 2022
Vakili, Seyedvahid
87fcd634-ca9f-466c-93b4-0432809e5287
Schönborn, Alessandro
e2452f6c-50aa-4ff2-97fc-385d9ea20dbe
Ölçer, Aykut I.
bb77f4c4-c8a5-4757-a9cf-3b511d5da592
Vakili, Seyedvahid, Schönborn, Alessandro and Ölçer, Aykut I.
(2022)
Application of the transdisciplinary shipyard energy management framework by employing a fuzzy multiple attribute group decision making technique toward a sustainable shipyard: case study for a Bangladeshi shipyard.
Journal of Shipping and Trade, 7, [22].
(doi:10.1186/s41072-022-00123-8).
Abstract
Shipbuilding is an energy-intensive industrial sector that produces a significant amount of waste, pollution and air emissions. However, the International Maritime Organization concentrates only on reducing emissions during the operational phase. In order to completely phase out emissions from the shipping industry, a life-cycle approach must be taken. The study implemented the proposed transdisciplinary energy management framework in a Bangladeshi shipyard. The framework aims to support shipyard decision makers in making rational and optimized decisions to make shipyards sustainable, while maintaining good product quality and reducing relative cost. This is achieved by applying the Fuzzy Analytical Hierarchy Process and Fuzzy Order of Preference by Similarity to Ideal Solution methods to identify optimal solutions. In addition to making shipyards more sustainable, the framework can enhance both the business and socio-economic prospects of the shipyard and promote the reputation of the shipyard and improve its competitiveness and, in line with this, lead to the promotion of nationally determined contributions under the Paris Agreement for States. The implementation of the framework shows that the political and legal discipline, the social criteria and the implementation of ISO 14001 and cyber security were the most important criteria and options for the yard's decision makers.
Text
s41072-022-00123-8
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Accepted/In Press date: 12 September 2022
Published date: 26 September 2022
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Local EPrints ID: 478391
URI: http://eprints.soton.ac.uk/id/eprint/478391
PURE UUID: f564068b-1327-48fe-a404-88816b2a21cc
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Date deposited: 29 Jun 2023 16:55
Last modified: 17 Mar 2024 04:20
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Author:
Seyedvahid Vakili
Author:
Alessandro Schönborn
Author:
Aykut I. Ölçer
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