Intelligent Maintenance Management
There is no doubt that maintenance issues impose a challenge for facility managers in general due to several considerations related to tenants’ environmental comfort or acoustics limitation or even other issues related to activities taking place at the facility..
Facilities maintenance is usually handled by a dedicated maintenance staff or it can be rewarded to a separate FM firms. Both ways, maintenance for diligent type of buildings is usually handled through preventive schedules built on periodic basis to avoid sudden breakdowns or failure of equipments, however, and as this approach might meet the on-site urgent need for maintenance through the lifetime of the facility, yet it rather miss the indications that the maintenance faults is saying about the overall operation of the building.
Data-driven maintenance management propose an intelligent approach to collect all information related to the actual status of equipments and the impact of a certain fault on the overall efficient performance of the buildings.
Furthermore, the maintenance efforts can be significantly reduced through a rather predictive or proactive maintenance schedules or routines built according to the actual and real-time data reflecting the status of equipments and prioritize the maintenance work orders according to its cost or even other considerations related to the client’s business such as the location of the equipment and the zones they are serving.
Data-driven maintenance management also brings a new level of quality in managing the maintenance staff through the adequate measurement of staff productivity in terms of response time and reduced breakdowns or any other KPIs set by the facility management.
The intelligent maintenance management software is provided with real time data from the different measurement devices of flow, pressure, temperature, and relative humidity and even many others that reflect the real time status of all plants and equipments serving the facility all through its lifetime.
The reports resulted from processing the data contributes in the initiation of automated work orders, quality control, inventory management as well as financial analysis.