Key Performance Indicators for Building Condition Assessment

International Journal of Strategic Property Management

Dejaco

2019

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Measurement of performances in asset management is an enabling factor to define an effective strategy. The scope of this research concerns the investigation on the Facility Condition Index (FCI): one of the most common metrics related to the built environment. The research aims at providing a critical review concerning the FCI and its use. The research methodology has been developed according to three steps: bibliographic research, bibliometric analysis and critical review. Most of the sources agree that FCI provides a reliable economic measurement of maintenance needs, though it must be tied to a strong condition assessment methodology. Moreover, different methodologies for computation of the deferred maintenance and the current replacement value can be found in literature and many researchers emphasised the limits of FCI when dealing with components characterised by a considerable difference in replacement costs. In conclusion, FCI is included in the wider framework of asset management business process.

Section: Fci Calculation Methodsmentioning

confidence: 99%

Measuring the Performance of Assets: A Review of the Facility Condition Index

International Journal of Strategic Property Management

Dejaco

2019

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“…KPIs are obtained through the refinement of raw data, therefore they are employed at different decision-making levels, depending on the management needs. Typically, three decision-making levels can be recognized when dealing with performance measurement: strategic, tactical and operational [16,17].…”

Section: State Of the Artmentioning

confidence: 99%

A Cross-Domain Decision Support System to Optimize Building Maintenance

2019

Buildings

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Operations and maintenance optimization are primary issues in Facility Management (FM). Moreover, the increased complexity of the digitized assets leads Facility Managers to the adoption of interdisciplinary metrics that are able to measure the peculiar dynamics of the asset-service system. The aim of this research concerns the development of a cross-domain Decision Support System (DSS) for maintenance optimization. The algorithm underpinning the DSS enables the maintenance optimization through a wiser allocation of economic resources. Therefore, the primary metric encompassed in the DSS is a revised version of the Facility Condition Index (FCI). This metric is combined with an index measuring the service life of the assets, one measuring the preference of the owner and another measuring the criticality of each component in the asset. The four indexes are combined to obtain a Maintenance Priority Index (MPI) that can be employed for maintenance budget allocation. The robustness of the DSS has been tested on an office building in Italy and provided good results. Despite the proposed algorithm could be included in a wider Asset Management system employing other metrics (e.g., financial), a good reliability in the measurement of cross-domain performance of buildings has been observed.

“…In Table 1 its basic contents are identified. (Dejaco et al 2017c;Re Cecconi et al 2017) This data is useful for all the stakeholders and for defining the conditions of a building during its life cycle from a technical, legislative and economic point of view. In the case of a new building, all the data come from the design and execution documentation; for an existing building it would be necessary to develop a specific building assessment and a documentation check.…”

Section: Building Logbookmentioning

confidence: 99%

Building and District Data Organization to Improve Facility and Property Management

Dejaco

Digital Transformation of the Design, Construction and Management Processes of the Built Environment

et al. 2019

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Effective Facility Management services are a key issue for a high-quality built environment, both in the public and private sectors. Within this context, an information management framework for the use phase of assets has been developed with the aim to streamline real estate management processes. The framework allows users to access and update at any time technical, administrative and maintenance data both at the building and at the district level. This allows for the integrated management of physical assets and enhances the risk prevention strategy.