Publication Date:
2018
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.
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.
CRIS type:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
DSS, Maintenance, FCI, Building condition assessment
List of contributors:
Re Cecconi, Fulvio; Moretti, Nicola; Maltese, Sebastiano; Tagliabue, Lavinia Chiara
Book title:
Advances in Informatics and Computing in Civil and Construction Engineering