Abdul Nabi, M (2023) Promoting enhanced decision-making and proactive management for modularization in the construction industry using risk-based approach, analytical hierarchy process, and graph theory. PhD thesis, Missouri University of Science and Technology, USA.
Abstract
Modularization is an approach that can potentially mitigate many of the currentconstruction industry’s challenges. Despite the documented advantages ofmodularization, the industry is still not able to capitalize on its full potential and benefits.The latter is due to the outdated decision-making models that may not reflect the multiplefactors involved in modular construction, the unique source of risks associated withmodular construction methods, need for continuous improvement, and complexcontractual requirements and disputes. As such, the goal is to promote the use ofmodularization in the construction industry by enhancing decision-making and proactiverisk management. The associated objectives are to: (1) determine decision-making factorsfor modular construction and provide future research directions; (2) understand the keyrisks affecting cost and schedule performance; (3) develop a benchmark to assess thelevel of risks associated with the use of modularization; (4) establish a risk-basedapproach to assess the cost and schedule benefits of modularization; (5) develop aframework for assessing the effective implementation of modularization; and (6)understand the causes of disputes in modularization. The research goal and objectiveswere achieved through multiple methodologies including surveys, graph theory,statistical and mathematical modelling, analytical hierarchy process, as well as clusteringand data mining. The outcome of this research contributes to the body of knowledge bydeveloping a comprehensive framework allowing for proactive management of modularrisks, assessment of effective implementation of modularization, as well as betterunderstanding of modular risks and causes of disputes in modular construction projects.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | El-adaway, I H |
| Uncontrolled Keywords: | continuous improvement; decision making; disputes; modular construction; data mining; analytical hierarchy process; mathematical modelling; construction project; construction method |
| Index terms: | survey, construction method, schedule performance, body of knowledge, construction project, methodology, modular construction, decision-making, dispute, continuous improvement, data mining, analytical hierarchy process, implementation, graph theory, construction industry, modularization, mathematical modelling |
| Subjects: | performance measurement, industry analysis, project controls, decision analysis, dispute resolution, data collection methods, data science, production management, theoretical framing, research methods, decision-making and optimization, building construction, knowledge management, contractual arrangements, analytical methods |
| Topics: | Site Management, Time Control, Construction Technology, Information Management, Research Practice, Quality Management, Legal Issues, Procurement, Risk Management, Project Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here