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Title:Risk management of repetitive construction projects
Author(s):Hassan, Abbas Atef Abbas
Director of Research:El-Rayes, Khaled
Doctoral Committee Chair(s):El-Rayes, Khaled
Doctoral Committee Member(s):Liu, Liang; El-Gohary, Nora; Golparvar-Fard, Mani; Attalla, Mohamed
Department / Program:Civil & Environmental Eng
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Non-Serial Repetitive Construction Projects
Linear Scheduling
Crew work continuity
Float
Delay Impact
Construction Management
Stochastic models
Monte Carlo simulation
Crew deployment date
Resource Utilization Plan
Optimization
Genetic algorithms
Abstract:Repetitive construction projects such as highways, high-rise buildings, and housing projects consist of repetitive construction activities that need to be repeated by the same crew in several locations in the project. Repetitive construction projects have inherent uncertainties that are commonly encountered during the construction phase due to variations in labor productivity, weather, site conditions, and equipment availability. These inherent uncertainties often lead to project delays and additional cost. The main goal of this study is to present the development of novel models to analyse the impacts of activity delays and optimize resource utilization with its stochastic scheduling in repetitive construction projects. To achieve this goal, the research objectives of this study are to develop: (1) a novel scheduling model for both serial and non-serial repetitive construction projects to quantify the impact of any activity delay on interrupting the crew work continuity of its successors; (2) an innovative stochastic scheduling model for repetitive construction projects to analyze and optimize the impact of crew deployment dates in uncertain repetitive construction projects on the project duration and the work continuity of construction crews and their impacts on project cost; and (3) a novel multi-objective stochastic scheduling optimization model for both serial and non-serial repetitive construction projects that is capable of searching for and identifying an optimal/near optimal crew formation and its deployment date for each activity that that generates optimal tradeoffs between project duration and project cost. The performance of the developed models was analyzed using real-life case studies. The results of analyzing these case studies illustrated the novel, and unique capabilities of the developed models in enabling construction planners and managers to (1) classify project activities according to the severity of their delay impact, (2) minimize negative impacts of activity delays, (3) maximize crew work continuity, (4) maximize resource utilization, (5) minimize project duration and (6) minimize project cost.
Issue Date:2019-11-26
Type:Text
URI:http://hdl.handle.net/2142/106219
Rights Information:Copyright 2019 Abbas Hassan
Date Available in IDEALS:2020-03-02
Date Deposited:2019-12


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