Optimizing the planning of modular construction projects
Almashaqbeh, Mohammad
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Permalink
https://hdl.handle.net/2142/109567
Description
Title
Optimizing the planning of modular construction projects
Author(s)
Almashaqbeh, Mohammad
Issue Date
2020-10-20
Director of Research (if dissertation) or Advisor (if thesis)
El-Rayes, Khaled
Doctoral Committee Chair(s)
El-Rayes, Khaled
Committee Member(s)
Liu, Liang
El-Gohary, Nora
Golparvar-Fard, Mani
Meidani, Hadi
Department of Study
Civil and Environmental Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Modular construction
Automated multi-objective optimization
Modularization
Module finishing level
Module transportation
Modular construction cost
Language
eng
Abstract
Modular construction provides many advantages including shorter project completion time, lower construction cost, improved productivity, and enhanced quality. The main goal of this research study is to develop novel models for optimizing the planning of modular construction projects. To accomplish this goal, the research objectives of this study are to develop for modular construction projects: (1) novel floor plan modularization model for optimizing the selection of width and length for each prefabricated module in the project; (2) innovative optimization model for selecting an optimal finishing level for each prefabricated module to minimize the total costs of offsite fabrication, module transportation, and onsite assembly; (3) novel transportation optimization model to identify for each module its optimal truck assignment, delivery day, location, and orientation on the assigned truck in order to minimize transportation and storage costs; and (4) automated multi-objective optimization model that is capable of generating and analyzing optimal tradeoffs between minimizing modular construction cost and maximizing floor plan functional performance.
The performance of the four developed optimization models was analyzed using case studies of modular construction buildings. The results of these analyses highlighted the original contributions of the developed models in optimizing modular construction decisions that focus on floor plan modularization, module finishing level, and module transportation. The results also illustrate the novel capabilities of the developed models in generating optimal tradeoffs between minimizing modular construction cost and maximizing floor plan functional performance. These original contributions and novel capabilities of the developed models are expected to have a significant impact on improving the cost effectiveness and functional performance of modular construction projects.
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