I4.0 revolution is permeating every technical sector, by promoting deployment of enabling technologies (ETs), also in the facility management (FM) discipline. As FM regards the integration of processes within an organization to support activities, it is clear how ETs can trigger, in the FM area, significant innovations like a better failure knowledge management and a sustainable use of resources. More specifically, the implementation in building maintenance of dynamic systems, linked to sensors networks, can allow changes into knowledge management and FM decision-making processes. Starting from these premises, the paper deals with an ongoing research, whose aim is to investigate how ETs may innovate the traditional maintenance strategies with new approaches in corrective, condition-based and predetermined maintenance. According to the above, building maintenance, which is traditionally reactive, may actually become proactive if failure management policy is set. The aim of this paper is to demonstrate how ETs adoption may promote innovation in FM processes focusing on maintenance in service equipment field. More specifically, an operative and methodological framework for reaching proactive maintenance is described through the support of a case study concerning two major healthcare infrastructures in Italy, managed by a major FM company.

No abstract

No abstract

No abstract

Resilience of the built environment, particularly in complex buildings, is strictly related to the effectiveness of systems and sub-systems that provide the expected features to manage risk scenarios in routine and nonroutine conditions. In this perspective, maintenance is therefore a key factor to assure building resilience by keeping systems and equipment in the required operational state. Risk management can be empowered if system resilience and disruptive events are monitored in real-time, and, to this aim, proactive maintenance can nowadays monitor systems resilience with innovative digital tools.More specifically, proactive maintenance, through Industry 4.0 (I4.0) tools, can enact control strategies for mitigating both endogenous riskssuch as equipment failure, aging and obsolesce not always deeply investigated in building sectorand exogenous risks.Anticipation of disruptive events of systems and control of endogenous risks is possible thanks the introduction of IoT and machine learning tools which may allow to modify the traditional corrective maintenance in the direction of a proactive maintenance approach.Aim of this paper is to highlight how proactive maintenance approach, if fully implemented, and supported by I4.0 tools, can empower resilience of systems in the building sector.