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 |
Thesis |
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 |