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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modularization in the construction industry using risk-based approach, analytical hierarchy process, and graph theory, Unpublished PhD Thesis, , Missouri University of Science and Technology.

Algraiw, I H A (2015) The engagement of expert opinions in the modeling of multi-attribute decision making for the selection of project delivery methods in building construction, Unpublished PhD Thesis, , Missouri University of Science and Technology.

Elsayegh, A (2021) Collaborative planning in the construction industry: A holistic framework for assessing collaborative planning practices and predicting project performance, Unpublished PhD Thesis, , Missouri University of Science and Technology.

  • Type: Thesis
  • Keywords: construction project; collaboration; lean construction; performance; relational contracting; effectiveness; fragmentation; analytical hierarchy process; social network analysis; project performance
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2632135957
  • 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.

Gillis, W L, III (2013) Development of an integrative commissioning methodology for new-building construction, Unpublished PhD Thesis, , Missouri University of Science and Technology.

Hassane Assaad, R (2021) Innovative modeling and management of infrastructure systems, engineering and construction operations, and offsite construction technology using computational data analytics, Unpublished PhD Thesis, , Missouri University of Science and Technology.

Loduca, D P (2011) Exploratory study of barriers to use of Feigenbaum's quality cost strategy within design engineering firms, Unpublished PhD Thesis, , Missouri University of Science and Technology.

Szydlik, C C (2014) Identifying and overcoming the barriers to sustainable construction, Unpublished PhD Thesis, , Missouri University of Science and Technology.