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A decision support system tool for selecting and identifying off-site construction systems and components.

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dc.contributor.author Zaheraldeen, Hayyan Nasser,
dc.date.accessioned 2020-03-28T17:18:20Z
dc.date.available 2022-05
dc.date.available 2020-03-28T17:18:20Z
dc.date.issued 2019
dc.date.submitted 2019
dc.identifier.other b23560460
dc.identifier.uri http://hdl.handle.net/10938/21829
dc.description Thesis. M.E. American University of Beirut. Department of Civil and Environmental Engineering, 2019. ET:6998.
dc.description Advisor : Dr. Hiam Khoury, Associate Professor, Civil and Environmental Engineering ; Co-Advisor : Dr. Farook Hamzeh, Assistant Professor, Civil and Environmental Engineering ; Member of Committee : Dr. Ibrahim Alameddine, Assistant Professor, Civil and Environmental Engineering.
dc.description Includes bibliographical references (leaves 94-100)
dc.description.abstract Many studies have shown the positive impact of applying lean principles in off-site construction. Although efforts were channeled towards comparing off-site versus on-site construction systems, none has performed a comparison among off-site non-volumetric systems (e.g. panelized and natural materials), volumetric systems, and hybrid systems. Additionally, none have performed a granular comparison among the off-site system components. They have only focused on different types of off-site construction without sufficiently considering and comparing their respective attributes. In fact, off-site systems and components present different advantages and disadvantages implying a need to evaluate their value maximization in terms of cost, time, quality, etc. Therefore, this research study presents a decision making evaluation tool targeted at: (1) extracting and elaborately analyzing the attributes associated with the different off-site systems and components, (2) identifying the optimal off-site systems for a given project by resorting to the Analytical Hierarchy Process technique (AHP), and (3) identifying the optimal components through a Choosing by Advantage technique (CBA). The outcomes of this study will yield standardized policies for properly choosing optimal off-site systems and components based on lean principles.
dc.format.extent 1 online resource (xiii, 100 leaves) : illustrations
dc.language.iso eng
dc.subject.classification ET:006998
dc.subject.lcsh Construction industry -- Lebanon.
dc.subject.lcsh Construction industry -- Syria.
dc.subject.lcsh Lean manufacturing -- Lebanon.
dc.subject.lcsh Lean manufacturing -- Syria.
dc.subject.lcsh Decision making.
dc.subject.lcsh Buildings, Prefabricated.
dc.subject.lcsh Waste minimization.
dc.title A decision support system tool for selecting and identifying off-site construction systems and components.
dc.type z
dc.contributor.department Maroun Semaan Faculty of Engineering and Architecture.
dc.contributor.department Department of Civil and Environmental Engineering,
dc.subject.classificationsource AUBNO
dc.contributor.institution American University of Beirut.


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