The critical risk factors that influence production-oriented projects in the United Arab Emirates: a 'Best-Worst Method' analysis
The critical risk factors that influence production-oriented projects in the United Arab Emirates: a 'Best-Worst Method' analysis
The aim of this paper is to examine, categorize and prioritize the critical risk factors that influence manufacturing-oriented projects. Utilizing data obtained from the metallic production industry in United Arab Emirates, we employ multi-criteria decision analysis encompassing the ‘Best-Worst Method’ (BWM) for factor ranking and categorization. The outcome of this exercise being the development of substantial proficiency in risk management that will have a significant impact on the overall success of projects commissioned within the manufacturing space. Findings drawn against an integrated ‘Technology–Organization–Environment’ and ‘Four levels of uncertainty’ framework suggests that ‘Automation’, ‘Cycle time’, and ‘Feed rate’ (technological factors), ‘Manpower utilization’ and ‘Agility’ (organizational factors), and ‘Occupational health and safety’ (environmental factors), ranked highest in terms of critical risk factors likely to impact upon the outcome of manufacturing projects.
Projects, risk intelligence, Manufacturing, success factors, Best-worst method, levels of uncertainty
Khan, Sharfuddin Ahmed
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Marshall, Alasdair
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Ojiako, Udechukwu
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Dalalah, Doraid
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Ceylan, Serkan
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Ali, Naser Nader
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Sharqawi, Salama Imad
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Khan, Sharfuddin Ahmed
5c5bef9a-bb5e-4327-9886-82097836cb79
Marshall, Alasdair
93aa95a2-c707-4807-8eaa-1de3b994b616
Ojiako, Udechukwu
39f57398-8b7b-422c-9186-6a87c75e0f8f
Dalalah, Doraid
640c40d9-44a0-4b7e-9d72-98b600effd18
Ceylan, Serkan
10f75de1-16da-4458-8ee1-8abe0a1e90ac
Ali, Naser Nader
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Sharqawi, Salama Imad
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Khan, Sharfuddin Ahmed, Marshall, Alasdair, Ojiako, Udechukwu, Dalalah, Doraid, Ceylan, Serkan, Ali, Naser Nader and Sharqawi, Salama Imad
(2022)
The critical risk factors that influence production-oriented projects in the United Arab Emirates: a 'Best-Worst Method' analysis.
Engineering Management Journal.
(doi:10.1080/10429247.2022.2041963).
Abstract
The aim of this paper is to examine, categorize and prioritize the critical risk factors that influence manufacturing-oriented projects. Utilizing data obtained from the metallic production industry in United Arab Emirates, we employ multi-criteria decision analysis encompassing the ‘Best-Worst Method’ (BWM) for factor ranking and categorization. The outcome of this exercise being the development of substantial proficiency in risk management that will have a significant impact on the overall success of projects commissioned within the manufacturing space. Findings drawn against an integrated ‘Technology–Organization–Environment’ and ‘Four levels of uncertainty’ framework suggests that ‘Automation’, ‘Cycle time’, and ‘Feed rate’ (technological factors), ‘Manpower utilization’ and ‘Agility’ (organizational factors), and ‘Occupational health and safety’ (environmental factors), ranked highest in terms of critical risk factors likely to impact upon the outcome of manufacturing projects.
Text
Critical Risk UAE BWM paper2022
- Accepted Manuscript
More information
Accepted/In Press date: 10 January 2022
e-pub ahead of print date: 21 March 2022
Keywords:
Projects, risk intelligence, Manufacturing, success factors, Best-worst method, levels of uncertainty
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Local EPrints ID: 455006
URI: http://eprints.soton.ac.uk/id/eprint/455006
PURE UUID: 8abf8665-8427-4a3a-a8fe-e000038bef2f
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Date deposited: 03 Mar 2022 17:42
Last modified: 06 Jun 2024 04:04
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Contributors
Author:
Sharfuddin Ahmed Khan
Author:
Udechukwu Ojiako
Author:
Doraid Dalalah
Author:
Serkan Ceylan
Author:
Naser Nader Ali
Author:
Salama Imad Sharqawi
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