A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A BIM-Based Decision Support System for Building Maintenance
Abstract Available data about asset condition and performances can be conveyed into different Key Performance Indicators (KPIs). Many KPIs measuring technical, functional and economic/financial asset performances can be found in literature. Nevertheless, they are often strictly related to a specific scope, thus they provide an incomplete depiction of the whole assets performances. The objective of this research is to provide facility managers and asset owners with an easy instrument to prioritize maintenance. In order to reduce costs related to its use, the instrument, developed in the form of a Decision Support System (DSS), is based on existing and reliable performances metrics and leverages new technologies like Building Information Modelling (BIM). Accordingly, the Facility Condition Index (FCI) is combined with the D index, a KPI related to the age of building components, developed by the authors. The joint use of the FCI and the D index, allows facility managers to make more conscious decisions. The proposed DSS helps in the definition of the best maintenance plan, providing a ranking of building components which require more urgent maintenance interventions. Although the DSS should be tested measuring its ability to preserve buildings and their performances on a long term, the first results are positive, as confirmed by the application to a case study on an office building in Italy. Moreover, the usability of the instrument has been appreciated by the users in a medium size Italian company.
A BIM-Based Decision Support System for Building Maintenance
Abstract Available data about asset condition and performances can be conveyed into different Key Performance Indicators (KPIs). Many KPIs measuring technical, functional and economic/financial asset performances can be found in literature. Nevertheless, they are often strictly related to a specific scope, thus they provide an incomplete depiction of the whole assets performances. The objective of this research is to provide facility managers and asset owners with an easy instrument to prioritize maintenance. In order to reduce costs related to its use, the instrument, developed in the form of a Decision Support System (DSS), is based on existing and reliable performances metrics and leverages new technologies like Building Information Modelling (BIM). Accordingly, the Facility Condition Index (FCI) is combined with the D index, a KPI related to the age of building components, developed by the authors. The joint use of the FCI and the D index, allows facility managers to make more conscious decisions. The proposed DSS helps in the definition of the best maintenance plan, providing a ranking of building components which require more urgent maintenance interventions. Although the DSS should be tested measuring its ability to preserve buildings and their performances on a long term, the first results are positive, as confirmed by the application to a case study on an office building in Italy. Moreover, the usability of the instrument has been appreciated by the users in a medium size Italian company.
A BIM-Based Decision Support System for Building Maintenance
Re Cecconi, Fulvio (author) / Moretti, Nicola (author) / Maltese, Sebastiano (author) / Tagliabue, Lavinia Chiara (author)
2018-10-04
8 pages
Article/Chapter (Book)
Electronic Resource
English
DSS , Maintenance , FCI , Building condition assessment Engineering , Building Construction and Design , Data Mining and Knowledge Discovery , Building Repair and Maintenance , Computer-Aided Engineering (CAD, CAE) and Design , Light Construction, Steel Construction, Timber Construction , Construction Management
A BUILDING MAINTENANCE DECISION SUPPORT SYSTEM
| British Library Conference Proceedings | 2005
Building Facades Maintenance Support System
| British Library Conference Proceedings | 2002
GE-091 DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR BUILDING MAINTENANCE MANAGEMENT
| British Library Conference Proceedings | 2002
Building an effective decision support system for the maintenance of underground/sewage networks
| British Library Conference Proceedings | 1996