A decision support system tool for selecting and identifying off-site construction systems and components.
| dc.contributor.author | Zaheraldeen, Hayyan Nasser | |
| dc.contributor.department | Department of Civil and Environmental Engineering | |
| dc.contributor.faculty | Maroun Semaan Faculty of Engineering and Architecture | |
| dc.contributor.institution | American University of Beirut | |
| dc.date | 2019 | |
| 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.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.identifier.other | b23560460 | |
| dc.identifier.uri | http://hdl.handle.net/10938/21829 | |
| dc.language.iso | en | |
| 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 | Thesis |
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