de Pinho Matos, Raquel Valente (2024) Building condition assessment applied to public buildings. PhD thesis, Universidade de Aveiro, Portugal.
Abstract
This thesis endeavours to reshape Facility Management (FM) practices by addressing persistent challenges in Building Condition Assessment (BCA) and sustainable maintenance management, particularly within Higher Education Institutions (HEI). Motivated by observed inefficiencies in building conservation and performance, the research strives to introduce a cohesive and practical platform for FM operations.The overarching objective is to develop an integrated framework that bridges the power of Building Information Modelling (BIM), Key Performance Indicators (KPIs), Machine Learning (ML) and Life Cycle Assessment (LCA) to optimize BCA and enhance decision-making processes for a more sustainable built environment. The work unfolds complex challenges in HEI stocks, drawn from a questionnaire administrated to HEI facility managers, being the first investigation about FM in Portuguese academic building stock.To address these challenges, the thesis proposes an unified platform that seamlessly combines BIM insights, KPIs, ML capabilities and LCA. The focus extends to the optimization of KPIs, specifically the Building Performance Indicator (BPI), where anomaly extension emerges as a pivotal assessment parameter. The research culminates in the introduction of Microsoft Power BI as a dynamic visualization tool, offering a user-friendly interface for FM practitioners.The findings emphasize a holistic approach to sustainable Asset Management, aligning with Environmental, Social, and Governance (ESG) principles. The proposed methodologies stand as a testament to the potential of predictive maintenance, LCA, and data-driven decision-making in fostering a resilient and sustainable built environment.Despite recognizing some limitations, including the omission of future climate change effects, the research provides a foundation for further exploration and refinement of FM practices. In essence, this thesis presents a forward-looking paradigm for FM, promoting efficiency, sustainability, and informed decision- making in the management of built environments.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Costa, Aníbal Guimarães; Rodrigues, Hugo Filipe Pinheiro and da Silva Rodrigues, Maria Fernanda |
| Index terms: | decision-making process, maintenance management, building information modelling, higher education institution, efficiency, building condition, governance, platform, key performance indicator, conservation, paradigm, investigation, holistic approach, built environment, life cycle assessment, building performance, building stock, asset management, manager, predictive maintenance, visualization, machine learning, climate change, public building, data-driven decision-making, exploration, methodology, questionnaire, practitioner |
| Subjects: | data collection methods, business, artificial intelligence, project delivery, design practice, education and knowledge transfer, performance management, educational institutions, decision analysis, infrastructure and transport systems, information systems, construction type, environmental impact, climate science, practitioner, environmental policy, environmental resource management, research methods, maintenance engineering, digital design, asset management, quality assurance |
| Topics: | Sustainability, Risk Management, Project Management, Education, Quality Management, Construction Technology, Governance, Roles and Professions, Research Practice, Business Strategy, Design Practice, Digital Applications, Urban Studies |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here