Document Type



Doctor of Philosophy (PhD)


Civil Engineering

First Advisor's Name

Wallied Orabi

First Advisor's Committee Title

Committee Co-Chair

Second Advisor's Name

Xia Jin

Second Advisor's Committee Title

Committee Co-Chair

Third Advisor's Name

Arindam G. Chowdhury

Third Advisor's Committee Title

Committee Member

Fourth Advisor's Name

Michael Bienvenu

Fourth Advisor's Committee Title

Committee Member

Fifth Advisor's Name

Berrin Tansel

Fifth Advisor's Committee Title

Committee Member


Decision Making, Construction, Resource Management, Optimization, Profitability

Date of Defense



Competitive bidding typically challenges contractors to stay in business by reducing contingency and limiting profit margin, which imposes more prudent resource utilization and allocation decisions during both planning and construction phases of projects. Many of these decisions must be made considering uncertainties that affect resource production and construction performance through several factors such as weather, managerial practices, job-type, and market conditions, etc. Construction decision makers will therefore have varied approaches to deal with these uncertainties based on their risk utility or perception. This research presents the development of a model for investigating the impact of risk-based approaches on construction network outcomes. The current study contributes to development of a model that enables corporate managers to understand the impact of different resource utilization and sharing policies on the overall outcome of their project and to select among optimum planning solutions that satisfy their profit margin and capital limitations. This research also enables corporate decision makers to have more realistic estimates for the profitability of their company, and understand consequences of their decisions in short and long term. Findings of this research provide decision makers with different solutions for profitability of their corporation based on non-dominated optimal time-cost trade-offs, and also broader perspective on how overall time and budget limitations, as well as risk perceptions, can affect the decision-making process. The model is verified and the results are validated through acquiring data from actual large scale construction projects in South Florida.





Rights Statement

Rights Statement

In Copyright. URI:
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).