Marmo, Rossella (2020) Building Information Modelling to support facilities management. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Building Information Modelling to support facilities management
Creators:
CreatorsEmail
Marmo, Rossellarossella.marmo@unina.it
Date: March 2020
Number of Pages: 168
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Civile, Edile e Ambientale
Dottorato: Ingegneria dei sistemi civili
Ciclo di dottorato: 32
Coordinatore del Corso di dottorato:
nomeemail
Papola, Andreapapola@unina.it
Tutor:
nomeemail
Polverino, FrancescoUNSPECIFIED
Nicolella, MaurizioUNSPECIFIED
Date: March 2020
Number of Pages: 168
Keywords: building information modelling (BIM); building performance assessment (BPA); facility management (FM); key performance indicators (KPIs); operation and maintenance (O&M); industry foundation classes (IFC); model view definition (MVD); relational database; procedural modelling; visual programming language (VPL); surgery room; healthcare facilities.
Settori scientifico-disciplinari del MIUR: Area 08 - Ingegneria civile e Architettura > ICAR/10 - Architettura tecnica
Area 08 - Ingegneria civile e Architettura > ICAR/11 - Produzione edilizia
Date Deposited: 19 Mar 2020 16:40
Last Modified: 08 Nov 2021 12:01
URI: http://www.fedoa.unina.it/id/eprint/13169

Collection description

Background: Facility Management (FM) regards a variety of competencies and activities aimed at improving people’s quality life and the productivity of the core business of an enterprise. Those practices can be improved by using new information technologies. Building Information Modelling (BIM) plays a key role in this sense, integrating different disciplines in a single platform. Although recent research trends reveal that the interest in FM aided by BIM is increasing, the achievement of an integrated model is still a challenge. Purpose: The thesis aims at developing a methodology to integrate Building Information Models and Facilities Management systems, proposing a so-called Performance Information Model (PIM). Methods: The Performance Information Model implementation process involves an adequate knowledge of the asset and related facilities policies, the definition of asset information requirements and performance assessment methods. The implemented methodology relies on the use of Key Performance Indicators (KPIs) as tools for capturing and quantifying relevant information about the asset condition. The Performance Information Model implementation considers the Industry Foundation Classes (IFC) data schema to address interoperability issues. IFC schema serves also as a reference to design a customised database to keep track of maintenance and monitoring activities and performances evaluation. A framework for a Performance Information Model based on IFC schema has been proposed and validated through international case-studies with regards to healthcare buildings. The integration between Facility Management systems and digital models has been achieved by using customised database and applications based on visual programming language. Results: Three main knowledge domains have been integrated: Facility Management, Performance Assessment and BIM. The proposal supports the achievement of organisational, environmental, and technical requirements. An Environmental Condition Index has been defined ex-novo to quantify environmental quality of surgery rooms, its applicability has been proved by real use cases. Performance Information Models for healthcare facilities have been created to deliver the methodology proof of concept. Practical implications: Using a Performance Information Model allows to manage building conditions in forms of KPIs, facilitating the model updating during the building life-cycle operational phase. It is a client-oriented and integrated analysis support tool which can improve technological and environmental performances assessment, visualisation of building condition, decision-making processes, maintenance tasks planning and maintenance records management. Originality: The research is novel as it addresses a relevant research gap which is moving from a building information model to a facility management model. The methodological approach to the facility management is original as it has pioneered a Performance Information Model for managing and visualizing asset conditions and performances to support decision making. Furthermore, a new Key Performance Indicator has been defined for surgery rooms environmental quality assessment. Eventually, the customised database based on IFC schema can be referred to as an extension of the FM handover Model View Definition.

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