Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain

The United Arab Emirates (UAE) is one of the leading countries, in the Middle East, for Additive Manufacturing (AM). The UAE government is strongly focusing on fostering innovation within the automotive supply chain of the country. AM offers a tremendous opportunity by improving adaptability and eff...

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Main Author: ALI, ASMA ALI ABDULLA (author)
Published: 2023
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Online Access:https://bspace.buid.ac.ae/handle/1234/2641
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author ALI, ASMA ALI ABDULLA
author_facet ALI, ASMA ALI ABDULLA
author_role author
dc.contributor.none.fl_str_mv Dr Sa'Ed Salheih
dc.creator.none.fl_str_mv ALI, ASMA ALI ABDULLA
dc.date.none.fl_str_mv 2023-11
2024-07-12T07:15:40Z
2024-07-12T07:15:40Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 20171672
https://bspace.buid.ac.ae/handle/1234/2641
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv United Arab Emirates, automotive supply chain, additive manufacturing, ISM-MICMAC analysis, Analytic Network Process (ANP), standardization, skilled labor, raw materials
dc.title.none.fl_str_mv Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
dc.type.none.fl_str_mv Dissertation
description The United Arab Emirates (UAE) is one of the leading countries, in the Middle East, for Additive Manufacturing (AM). The UAE government is strongly focusing on fostering innovation within the automotive supply chain of the country. AM offers a tremendous opportunity by improving adaptability and efficiency of the supply chain such as reducing lead times, decreasing the dependence on foreign suppliers, and promoting sustainability in manufacturing processes. The study used a mixed method approach to determine the interrelationship between the barriers and to prioritize them with respect to one another. 11 critical barriers were identified through comprehensive literature review analysis and were modeled using ISM-MICMAC and ANP analysis with opinions gathered from industry experts. The study represents that Lack of standardization, skilled labor shortage, and limited availability of raw materials are the important barriers in the AM adoption. The ISM analysis represented the qualitative classification of barriers levels depending on their influence and interdependence, whereas the ANP analysis provided a quantitative validation for the findings. The results of this study are beneficial in providing insights of AM adoption and the unique obstacles encountered in the UAE automotive supply chain. It also assists the decision makers and automotive industry professionals to strategically implement additive manufacturing initiatives to overcome these barriers.
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spelling Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply ChainALI, ASMA ALI ABDULLAUnited Arab Emirates, automotive supply chain, additive manufacturing, ISM-MICMAC analysis, Analytic Network Process (ANP), standardization, skilled labor, raw materialsThe United Arab Emirates (UAE) is one of the leading countries, in the Middle East, for Additive Manufacturing (AM). The UAE government is strongly focusing on fostering innovation within the automotive supply chain of the country. AM offers a tremendous opportunity by improving adaptability and efficiency of the supply chain such as reducing lead times, decreasing the dependence on foreign suppliers, and promoting sustainability in manufacturing processes. The study used a mixed method approach to determine the interrelationship between the barriers and to prioritize them with respect to one another. 11 critical barriers were identified through comprehensive literature review analysis and were modeled using ISM-MICMAC and ANP analysis with opinions gathered from industry experts. The study represents that Lack of standardization, skilled labor shortage, and limited availability of raw materials are the important barriers in the AM adoption. The ISM analysis represented the qualitative classification of barriers levels depending on their influence and interdependence, whereas the ANP analysis provided a quantitative validation for the findings. The results of this study are beneficial in providing insights of AM adoption and the unique obstacles encountered in the UAE automotive supply chain. It also assists the decision makers and automotive industry professionals to strategically implement additive manufacturing initiatives to overcome these barriers.The British University in Dubai (BUiD)Dr Sa'Ed Salheih2024-07-12T07:15:40Z2024-07-12T07:15:40Z2023-11Dissertationapplication/pdf20171672https://bspace.buid.ac.ae/handle/1234/2641enoai:bspace.buid.ac.ae:1234/26412024-07-12T23:00:16Z
spellingShingle Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
ALI, ASMA ALI ABDULLA
United Arab Emirates, automotive supply chain, additive manufacturing, ISM-MICMAC analysis, Analytic Network Process (ANP), standardization, skilled labor, raw materials
title Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
title_full Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
title_fullStr Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
title_full_unstemmed Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
title_short Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
title_sort Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
topic United Arab Emirates, automotive supply chain, additive manufacturing, ISM-MICMAC analysis, Analytic Network Process (ANP), standardization, skilled labor, raw materials
url https://bspace.buid.ac.ae/handle/1234/2641