|Author:||Mohamed, Sherif Mohamed Abdelmageed|
|Title:||Optimal tower crane operation for modular integrated construction using hybrid simulation|
|Advisors:||Zayed, Tarek (BRE)|
Prefabricated houses -- Design and construction
Hong Kong Polytechnic University -- Dissertations
|Department:||Department of Building and Real Estate|
|Pages:||x, 106 pages : color illustrations|
|Abstract:||Modular integrated construction (MiC) has been an attractive topic for research and practice in the last decade. The adoption of this technology has increased in several markets, and multiple cities worldwide including Hong Kong have shown interest. In this research, two main objectives are addressed, first is carrying out a mixed-method literature review for the broad scope of MiC. Second is building a multi simulation model that can capture the operation and context of the MiC modules installation process. The first objective covered a broad scope of MiC including but not limited to design, construction, supply chain, sustainability, etc. This broad coverage of MiC literature will benefit construction stakeholders globally. The quantitative analysis using science mapping of literature showed that almost 50% of research in MiC is conducted by only four countries namely the United States of America, the United Kingdom, Canada, and Australia. The qualitative analysis of literature resulted in creating six main categories of the existing literature, and design and management aspects were found to be the dominant research theme. The identified research gaps are the lack of quantitative analysis for the benefits of innovative design proposals, and in performing detailed cost analysis for MiC to measure its cost-saving benefits. Future directions of research in MiC may include models to analyze stakeholder relationships during the design stage and contractual issues such as risk-sharing, disputes management, etc. The second objective was achieved through building a hybrid discrete event simulation and system dynamics (DES-SD) model in Anylogic simulation environment. The model included installation process tasks, durations, sequence, tower crane data, productivity factors, and weather conditions. The model was found to be sensitive against resource variation as it affects the time, cost, and utilization of resources. The model also showed sensitivity against weather conditions i.e. the month in which the installation process starts affects the total duration of the installation stage. It was found that the optimum months for starting MiC projects in Hong Kong are October, November, and December. The model was verified through animation, sensitivity analysis, and an increased number of replications. Then, it was validated through a comparison with existing model from the literature.|
|Rights:||All rights reserved|
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