Understanding improvisation in construction through agent-based modeling

dc.contributor.authorAlhussein, Hasnaa Salah
dc.contributor.departmentDepartment of Civil and Environmental Engineering
dc.contributor.facultyMaroun Semaan Faculty of Engineering and Architecture
dc.contributor.institutionAmerican University of Beirut
dc.date2018
dc.date.accessioned2018-10-11T11:43:16Z
dc.date.available2018-10-11T11:43:16Z
dc.date.copyright2021-05
dc.date.issued2018
dc.date.submitted2018
dc.descriptionThesis. M.E. American University of Beirut. Department of Civil and Environmental Engineering, 2018. Advisor : Dr. Farook Hamzeh, Assistant Professor, Civil and Environmental Engineering ; Committee members : Dr. Hiam Khoury, Associate Professor, Civil and Environmental Engineering ; Dr. Ibrahim Alameddine, Assistant Professor, Civil and Environmental Engineering.
dc.descriptionIncludes bibliographical references (leaves 85-92)
dc.description.abstractImprovisation is a spontaneous, impulsive, but rational decision-making process. Although unpopular, as it indicates deviation from plans, improvisation is unavoidable in construction as it helps address emerging non-standard issues or problems related to unforeseen uncertainties. Therefore, a construction project will benefit from applying an adaptive planning system that employs improvisation and reacts rapidly to unplanned incidents. This research study aims at advancing the knowledge of improvisation in construction through better understanding its dynamics. The study’s contribution to the industry lies in guiding construction planners and decision-makers to better manage the problems of unexpected uncertainty through enhancing the overall improvisational performance in a construction project. Agent-based modeling is used to develop a simulation model that depicts the improvisation practices at the level of planners working and interacting together in a construction project. The simulation model illustrates planner, project, and problem-related parameters that highly influence how each planner improvises. Moreover, the model considers different types of interactions that might shape the ongoing improvisational practices. Also, it identifies how different variations of improvisational parameters, related to the planners’ assortment and types of construction projects, influence the emergent improvisational outcome. Thereafter, Analytical Hierarchy Process survey is conducted among a group of construction experts to quantify certain behaviors and rules related to the model’s components. Also, the inputs of the developed model are validated while considering data from five large-size projects, located in a metropolitan capital. In addition, simulation experiments are conducted to develop linear regression models that anticipate the outcomes of the improvisational practices in a certain project from a given distribution or combination of improvisers. The established classification of improvise
dc.format.extent1 online resource (xi, 92 leaves) : color illustrations
dc.identifier.otherb21075670
dc.identifier.urihttp://hdl.handle.net/10938/21472
dc.language.isoen
dc.subject.classificationET:006762
dc.subject.lcshConstruction projects -- Management
dc.subject.lcshProject management -- Planning
dc.subject.lcshDecision making
dc.subject.lcshSimulation methods
dc.subject.lcshMultiagent systems
dc.titleUnderstanding improvisation in construction through agent-based modeling
dc.typeThesis

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