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A Cross-Domain Decision Support System to Optimize Building Maintenance

Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering, 20133 Milano, Italy
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Buildings 2019, 9(7), 161; https://doi.org/10.3390/buildings9070161
Received: 3 June 2019 / Revised: 26 June 2019 / Accepted: 2 July 2019 / Published: 4 July 2019
(This article belongs to the Special Issue Life Cycle Prediction and Maintenance of Buildings)
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Abstract

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. View Full-Text
Keywords: Digitization; Key Performance Indicators; KPIs; Asset Management; Facility Management; Operations Maintenance & Repairs; Decision Support System; Facility Condition Index Digitization; Key Performance Indicators; KPIs; Asset Management; Facility Management; Operations Maintenance & Repairs; Decision Support System; Facility Condition Index
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Moretti, N.; Re Cecconi, F. A Cross-Domain Decision Support System to Optimize Building Maintenance. Buildings 2019, 9, 161.

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