{"id":{"repo_id":"must-thes","oai_identifier":"oai:scholarsmine.mst.edu:doctoral_dissertations-4281"},"canonical_url":"https://search.dev.ndltd.org/etd/must-thes/oai:scholarsmine.mst.edu:doctoral_dissertations-4281","repository":{"repo_id":"must-thes","name":"Missouri University of Science and Technology","base_url":"https://scholarsmine.mst.edu/do/oai/"},"display":{"title":"Promoting Enhanced Decision-Making and Proactive Management for Modularization in the Construction Industry Using Risk-Based Approach, Analytical Hierarchy Process, and Graph Theory","abstract":"<p>\"Modularization is an approach that can potentially mitigate many of the current construction industry’s challenges. Despite the documented advantages of modularization, the industry is still not able to capitalize on its full potential and benefits. The latter is due to the outdated decision-making models that may not reflect the multiple factors involved in modular construction, the unique source of risks associated with modular construction methods, need for continuous improvement, and complex contractual requirements and disputes. As such, the goal is to promote the use of modularization in the construction industry by enhancing decision-making and proactive risk management. The associated objectives are to: (1) determine decision-making factors for modular construction and provide future research directions; (2) understand the key risks affecting cost and schedule performance; (3) develop a benchmark to assess the level of risks associated with the use of modularization; (4) establish a risk-based approach to assess the cost and schedule benefits of modularization; (5) develop a framework for assessing the effective implementation of modularization; and (6) understand the causes of disputes in modularization. The research goal and objectives were achieved through multiple methodologies including surveys, graph theory, statistical and mathematical modelling, analytical hierarchy process, as well as clustering and data mining. The outcome of this research contributes to the body of knowledge by developing a comprehensive framework allowing for proactive management of modular risks, assessment of effective implementation of modularization, as well as better understanding of modular risks and causes of disputes in modular construction projects\"--Abstract, p. iii</p>","abstract_html":"&lt;p&gt;&quot;Modularization is an approach that can potentially mitigate many of the current construction industry’s challenges. Despite the documented advantages of modularization, the industry is still not able to capitalize on its full potential and benefits. The latter is due to the outdated decision-making models that may not reflect the multiple factors involved in modular construction, the unique source of risks associated with modular construction methods, need for continuous improvement, and complex contractual requirements and disputes. As such, the goal is to promote the use of modularization in the construction industry by enhancing decision-making and proactive risk management. The associated objectives are to: (1) determine decision-making factors for modular construction and provide future research directions; (2) understand the key risks affecting cost and schedule performance; (3) develop a benchmark to assess the level of risks associated with the use of modularization; (4) establish a risk-based approach to assess the cost and schedule benefits of modularization; (5) develop a framework for assessing the effective implementation of modularization; and (6) understand the causes of disputes in modularization. The research goal and objectives were achieved through multiple methodologies including surveys, graph theory, statistical and mathematical modelling, analytical hierarchy process, as well as clustering and data mining. The outcome of this research contributes to the body of knowledge by developing a comprehensive framework allowing for proactive management of modular risks, assessment of effective implementation of modularization, as well as better understanding of modular risks and causes of disputes in modular construction projects&quot;--Abstract, p. iii&lt;/p&gt;","abstract_has_math":false,"creators":["Abdul Nabi, Mohamad"],"institution":"Missouri University of Science and Technology","degree_name":"Ph. 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The latter is due to the outdated decision-making models that may not reflect the multiple factors involved in modular construction, the unique source of risks associated with modular construction methods, need for continuous improvement, and complex contractual requirements and disputes. As such, the goal is to promote the use of modularization in the construction industry by enhancing decision-making and proactive risk management. The associated objectives are to: (1) determine decision-making factors for modular construction and provide future research directions; (2) understand the key risks affecting cost and schedule performance; (3) develop a benchmark to assess the level of risks associated with the use of modularization; (4) establish a risk-based approach to assess the cost and schedule benefits of modularization; (5) develop a framework for assessing the effective implementation of modularization; and (6) understand the causes of disputes in modularization. The research goal and objectives were achieved through multiple methodologies including surveys, graph theory, statistical and mathematical modelling, analytical hierarchy process, as well as clustering and data mining. The outcome of this research contributes to the body of knowledge by developing a comprehensive framework allowing for proactive management of modular risks, assessment of effective implementation of modularization, as well as better understanding of modular risks and causes of disputes in modular construction projects\"--Abstract, p. iii</p>"]},{"key":"dc:title","label":"Title","values":["Promoting Enhanced Decision-Making and Proactive Management for Modularization in the Construction Industry Using Risk-Based Approach, Analytical Hierarchy Process, and Graph Theory"]}]}],"canonical_facts":{"dc:creator":["Abdul Nabi, Mohamad"],"dc:description.abstract":["<p>\"Modularization is an approach that can potentially mitigate many of the current construction industry’s challenges. Despite the documented advantages of modularization, the industry is still not able to capitalize on its full potential and benefits. The latter is due to the outdated decision-making models that may not reflect the multiple factors involved in modular construction, the unique source of risks associated with modular construction methods, need for continuous improvement, and complex contractual requirements and disputes. As such, the goal is to promote the use of modularization in the construction industry by enhancing decision-making and proactive risk management. The associated objectives are to: (1) determine decision-making factors for modular construction and provide future research directions; (2) understand the key risks affecting cost and schedule performance; (3) develop a benchmark to assess the level of risks associated with the use of modularization; (4) establish a risk-based approach to assess the cost and schedule benefits of modularization; (5) develop a framework for assessing the effective implementation of modularization; and (6) understand the causes of disputes in modularization. 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The outcome of this research contributes to the body of knowledge by developing a comprehensive framework allowing for proactive management of modular risks, assessment of effective implementation of modularization, as well as better understanding of modular risks and causes of disputes in modular construction projects\"--Abstract, p. iii</p>"],"dc:identifier":["https://scholarsmine.mst.edu/doctoral_dissertations/3276"],"dc:subject":["Construction Disputes","Decision-making","Graph Theory","Modularization","Risk Management","Civil and Environmental Engineering","Civil Engineering","Engineering"],"dc:title":["Promoting Enhanced Decision-Making and Proactive Management for Modularization in the Construction Industry Using Risk-Based Approach, Analytical Hierarchy Process, and Graph Theory"],"dc:type":["Dissertation - Open Access"],"thesis:degree_name":["Ph. 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