Doctoral Dissertations
Keywords and Phrases
Collaborative Planning; Construction Management; Lean Construction; Prediction; Project Management; Project Performance
Abstract
"The fragmentation of the construction industry prompted developing novel methods such as collaborative planning, lean construction, advancements in technology, integrated project delivery, and relational contracting. Current research focused on specific facets of collaborative planning without presenting a comprehensive analysis of its factors. As such, the goal of this research is to develop a holistic framework that studies and evaluates collaborative planning practices in construction projects. This research offers significant addition to the body of knowledge through various theoretical and practical contributions. In relation to that, this research developed a comprehensive framework by (1) identifying a comprehensive list of factors influencing construction collaborative planning; (2) conducting a social network analysis on the identified factors; (3) introducing a novel index for measuring the effectiveness of collaborative planning; (4) developing prediction models for the cost and schedule performance of construction projects in relation to collaborative planning risks; and (5) offering recommended strategies to enhance the application of construction collaborative planning. The research objectives were achieved by using analytical and modeling techniques including social network analysis, analytical hierarchy process, mathematical and risk modeling, industry expert and project-based surveys, and validation of its applicability in construction projects. Ultimately, this research aims to expand the application of construction collaborative planning. This will enable and facilitate reliable planning and management practices that should lead to improved project performance"--Abstract, page iii.
Advisor(s)
El-adaway, Islam H.
Committee Member(s)
Schonberg, William P.
Abdelrahman, Magdy
Fitch, Mark W.
Kwasa, Benjamin J.
Department(s)
Civil, Architectural and Environmental Engineering
Degree Name
Ph. D. in Civil Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2021
Pagination
xiii, 151 pages
Note about bibliography
Includes bibliographic references (pages 128-150).
Rights
© 2021 Amr Elsayegh, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 11945
Recommended Citation
Elsayegh, Amr, "Collaborative planning in the construction industry: A holistic framework for assessing collaborative planning practices and predicting project performance" (2021). Doctoral Dissertations. 3054.
https://scholarsmine.mst.edu/doctoral_dissertations/3054