Akademik Veri Yönetim Sistemi
Tezin Türü: Bütünleşik Doktora
Tezin Yürütüldüğü Kurum: Yıldız Teknik Üniversitesi, İnşaat Fakültesi, İnşaat Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2022
Tezin Dili: İngilizce
Öğrenci: Gökhan DEMİRDÖĞEN
Asıl Danışman (Eş Danışmanlı Tezler İçin): Zeynep Işik
Özet:
An increase in the usage of information
and communication technologies (ICT) and the Internet of Things (IoT) in
Facility Management (FM) induces a huge data stack. These data sources cannot
be managed and manipulated effectively to increase efficiency at the FM stage.
Therefore, healthcare lean FM requires a clear and rapid information flow and
healthcare FM Key Performance Indicators (KPIs) for decision making processes
to impede possible bottlenecks, eliminate wastes and inefficiencies.
In the literature, BIM models that
involve geometric and non-geometric information aren’t used after construction
stage due to its static nature. Additionally, available commercial systems have
lack of data analysis for timely intervention. In the literature, the proposed
systems require either implementation of WebGL-HTML5 applications that
necessitates coding skills for updates in model or data analysis with Big Data
Analytic (BDA) tools to reveal FM KPIs. Therefore, this study aims to develop a
FM framework based on BDA, BIM, Computational Fluid Dynamic (CFD), and Building
Energy Performance Simulation (BEPS) based on lean management principles for
healthcare facilities by employing Design Science Research (DSR) methodology. The
framework was created based on five processes.
A prototype was tested with blackbox
testing method. Analysis results via questionnaire showed that prototype of FM
platform is effective and practical to perform FM data retrieval and data
analysis processes. However, it requires considerable training program to use
effectively in FM tasks due to use of BIM and new interface.
The study contributions are to enable
identifying FM information types and identifying FM KPIs based on Business
Intelligence and Analytics, increasing BIM usage during FM, and proposing FM
framework for efficient FM of the healthcare facilities by considering LMP. The
developed framework will guide FM personnel in efficient data management, data
query and data analytics of semantic data for healthcare facilities.An increase in the usage of information
and communication technologies (ICT) and the Internet of Things (IoT) in
Facility Management (FM) induces a huge data stack. These data sources cannot
be managed and manipulated effectively to increase efficiency at the FM stage.
Therefore, healthcare lean FM requires a clear and rapid information flow and
healthcare FM Key Performance Indicators (KPIs) for decision making processes
to impede possible bottlenecks, eliminate wastes and inefficiencies.
In the literature, BIM models that
involve geometric and non-geometric information aren’t used after construction
stage due to its static nature. Additionally, available commercial systems have
lack of data analysis for timely intervention. In the literature, the proposed
systems require either implementation of WebGL-HTML5 applications that
necessitates coding skills for updates in model or data analysis with Big Data
Analytic (BDA) tools to reveal FM KPIs. Therefore, this study aims to develop a
FM framework based on BDA, BIM, Computational Fluid Dynamic (CFD), and Building
Energy Performance Simulation (BEPS) based on lean management principles for
healthcare facilities by employing Design Science Research (DSR) methodology. The
framework was created based on five processes.
A prototype was tested with blackbox
testing method. Analysis results via questionnaire showed that prototype of FM
platform is effective and practical to perform FM data retrieval and data
analysis processes. However, it requires considerable training program to use
effectively in FM tasks due to use of BIM and new interface.