On the Adoption of Circular Economy Concepts in the Manufacturing Sector

A Master of Science thesis in Mechanical Engineering by Aser Alaa Fathi Elsayed Ahmed entitled, “On the Adoption of Circular Economy Concepts in the Manufacturing Sector”, submitted in November 2021. Thesis advisor is Dr. Mohammad Nazzal and thesis co-advisor is Dr. Basil Darras. Soft copy is availa...

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Main Author: Ahmed, Aser Alaa Fathi Elsayed (author)
Format: doctoralThesis
Published: 2021
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Online Access:http://hdl.handle.net/11073/21617
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author Ahmed, Aser Alaa Fathi Elsayed
author_facet Ahmed, Aser Alaa Fathi Elsayed
author_role author
dc.contributor.none.fl_str_mv Nazzal, Mohammad
Darras, Basil
dc.creator.none.fl_str_mv Ahmed, Aser Alaa Fathi Elsayed
dc.date.none.fl_str_mv 2021-11
2022-02-01T09:14:33Z
2022-02-01T09:14:33Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2021.68
http://hdl.handle.net/11073/21617
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Circular economy
Cyber-physical systems
Industry 4.0
Sustainable development goals
Fuzzy logic
Multi-Criteria Decision-Making (MCDM) Methods
Sustainable Development
Sustainability
dc.title.none.fl_str_mv On the Adoption of Circular Economy Concepts in the Manufacturing Sector
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechanical Engineering by Aser Alaa Fathi Elsayed Ahmed entitled, “On the Adoption of Circular Economy Concepts in the Manufacturing Sector”, submitted in November 2021. Thesis advisor is Dr. Mohammad Nazzal and thesis co-advisor is Dr. Basil Darras. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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identifier_str_mv 35.232-2021.68
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/21617
publishDate 2021
repository.mail.fl_str_mv
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spelling On the Adoption of Circular Economy Concepts in the Manufacturing SectorAhmed, Aser Alaa Fathi ElsayedCircular economyCyber-physical systemsIndustry 4.0Sustainable development goalsFuzzy logicMulti-Criteria Decision-Making (MCDM) MethodsSustainable DevelopmentSustainabilityA Master of Science thesis in Mechanical Engineering by Aser Alaa Fathi Elsayed Ahmed entitled, “On the Adoption of Circular Economy Concepts in the Manufacturing Sector”, submitted in November 2021. Thesis advisor is Dr. Mohammad Nazzal and thesis co-advisor is Dr. Basil Darras. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Industrialization has brought wealth, prosperity, and abundance to many nations. However, it has had many drawbacks on people’s health and the environment. Several paradigms have been proposed and implemented in an effort to suppress and reverse the adverse impacts of human activities and industrialization. A popular approach is the circular economy (CE). CE is a waste conservative model that limits resources uptake, waste generation and energy consumption. The implementation of today’s top-notch technologies such as Industry 4.0 tools is a necessity to enable the transition from the conventional linear economy to the CE. Moreover, to ease this transition, it is important to be able to assess the circularity of different products and processes along the way. Most available assessment procedures lack comprehensiveness and objectivity due to complexities such as the quantification processes of qualitative data, the extensive use of linguistic terms that represent data and the uncertainties associated with them, and the difficulty in combining more than one indicator in case of similarity, dependency, or both. The aim of this thesis is to firstly present a thorough review on the applications of cyber-physical systems within each of the CE stages and highlight their contribution to the attainment of the different sustainable development goals through several practical examples. Secondly, it presents a comprehensive CE assessment framework that can assess the circularity of developed and developing countries, different industries, wide range of processes, and different products, of both private and public sectors on a micro, meso, and macro levels. This is achieved through a step-by-step indicators selection procedure and the combination of fuzzy logic and multi-criteria decision-making methods which deliver a CE assessment that eliminates previously mentioned problems and result in an unbiased realistic ranking of alternatives. The presented framework is implemented to assess the circularity of Friction Stir Back Extrusion against conventional extrusion methods. Results show a higher circularity score for the FSBE (48.9%) over conventional extrusion methods (4.78%), validating the applicability of the proposed CE assessment framework.College of EngineeringDepartment of Mechanical EngineeringMaster of Science in Mechanical Engineering (MSME)Nazzal, MohammadDarras, Basil2022-02-01T09:14:33Z2022-02-01T09:14:33Z2021-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2021.68http://hdl.handle.net/11073/21617en_USoai:repository.aus.edu:11073/216172025-06-26T12:32:54Z
spellingShingle On the Adoption of Circular Economy Concepts in the Manufacturing Sector
Ahmed, Aser Alaa Fathi Elsayed
Circular economy
Cyber-physical systems
Industry 4.0
Sustainable development goals
Fuzzy logic
Multi-Criteria Decision-Making (MCDM) Methods
Sustainable Development
Sustainability
status_str publishedVersion
title On the Adoption of Circular Economy Concepts in the Manufacturing Sector
title_full On the Adoption of Circular Economy Concepts in the Manufacturing Sector
title_fullStr On the Adoption of Circular Economy Concepts in the Manufacturing Sector
title_full_unstemmed On the Adoption of Circular Economy Concepts in the Manufacturing Sector
title_short On the Adoption of Circular Economy Concepts in the Manufacturing Sector
title_sort On the Adoption of Circular Economy Concepts in the Manufacturing Sector
topic Circular economy
Cyber-physical systems
Industry 4.0
Sustainable development goals
Fuzzy logic
Multi-Criteria Decision-Making (MCDM) Methods
Sustainable Development
Sustainability
url http://hdl.handle.net/11073/21617