Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Analysis of Building Information Modeling (bim) Performance Using Big Data From a Construction Project(01. Izmir Institute of Technology, 2023) Bostan, Berkay Batuhan; Çavka, Hasan BurakThis study aims to propose a systematical approach for evaluating BIM performance from a main contractor's perspective based on big data from a construction project. Retrospective case study is used as the research approach. Data is collected through interviews with the main contractor firm, and data from the logged project information in project databases including ACONEX and Microsoft Excel files. A framework containing performance metrics, specifically tailored to evaluate BIM performance based on big data, is developed from the combined analysis of literature review, interviews with main contractor, and overview of the project data. Collected project data and interview data are analyzed using the developed framework. Results of the data analysis are verified through follow-up interviews with the main contractor firm. Findings of the study suggest that it is possible to evaluate the BIM performance through analysis of collected BIM big data using the proposed systematical approach. Several performance problems were identified during the data analysis. Follow-up interviews revealed that identified performance problems from the data analysis largely coincided with the real-life experiences and accurate data entry is the key criterion for the analysis to yield correct results. The proposed framework should be tested in wider range of studies and may serve as a foundation for a future benchmarking system. Future work should focus on refining performance metrics, establishing a BIM big data database for benchmarking, exploring data's potential to be used for real-time performance assessment, and implementation of emerging Artificial Intelligence (AI) techniques for the analysis of big data.Master Thesis An Inquiry Into the Adoption Process of Building Information Modeling in Architectural Practice(01. Izmir Institute of Technology, 2021) Baçnak, Tuğçe Zeynep; Çavka, Hasan Burak; Doğan, FehmiArchitectural practice went through various changes in time to adopt emerging technologies. Current and developing Building Information Modelling (BIM) technologies enables the integration of project partners in early phases of a project life cycle, differing from traditional project delivery processes. Since BIM impacts people, process, and technology (PPT), the adoption of BIM invites radical transformations in these aspects. The aim of this study is to investigate BIM adoption in small design offices from a socio-technical perspective by focusing on individuals' experiences to analyze the motivation for BIM adoption, the factors in adoption, and the strategies through which BIM is integrated into the architectural design processes. Case study analysis is used as the research method and data was collected through five interviews from two offices. Afterwards, analytical coding was implemented to analyze the data. Findings demonstrated that the level of BIM adoption is related to the coevolution of PPT. The inefficient workflow of previous processes was found to be the main motivation for BIM adoption. Whereas the impact of people was a major factor in the adoption phases on the strategies for adoption and barriers in adoption were mainly human related. People were a critical factor in making the decision to go through the adoption. Technological aspects, instead, were considered later when the decision on adoption was given. These findings showed that the impacts of BIM adoption factors, PPT, vary throughout the BIM adoption phases. The major human-based issues in early phases of adoption showed that to implement BIM in current workflows a socio-technical approach is essential.