Predictive maintenance might sound scary, but every Facilities Manager needs to know these few things to help make it less frightening
Predictive maintenance is associated with a 25-percent increase in employee productivity, as well as 70 percent decreases in asset breakdown, and an overall reduction in maintenance costs of up to 25 percent, reports Deloitte. However, predictive maintenance strategies are not created equal, and Facilities Managers need to understand a few things about effective predictive maintenance.
Why Maintenance Standards Must Evolve
Maintenance standards for Facilities Management must evolve in the wake of shrinking budgets, tightening environmental standards, increasing guest demand, and widening service provider networks. In addition, the risks to facilities using predictive maintenance has never been greater. Cybercrime could result in the breach of countless guest records, tarnishing your brand. While the industry is moving further into Industry 4.0 through the Internet of Things and predictive maintenance, as explained by Engineering.com, modern predictive maintenance strategies must also evolve.
Predictive Maintenance is the Leading Best Practice in Modern Facilities Management
Regardless of experience and profession, predictive maintenance stands out as the leading Best Practice in modern Facilities Management. It allows Facilities Managers to evaluate existing programs, determine how to increase energy efficiency, track activities, and report information to organizational leaders, notes FacilitiesNet. The expansiveness of predictive maintenance and its benefits can make it hard to understand where Facilities Managers should focus. However, this does not negate the value of predictive maintenance, enhancing facilities budgeting, reducing maintenance, and energy spending.
The Five Keys to Effective Predictive Maintenance Programs
Facilities Managers should build predictive maintenance programs around these five pillars to success.
- Integrated systems to tear down organizational siloes and bring all systems together via a single pane of glass. The single pane of glass allows all team members to access the information and ensure maximum efficiency.
- Use of Big Data analytics to derive greater value and identify problems before they arise. Big Data analytics are an integral component of predictive maintenance, and they allow Facilities Managers to identify and address problems before they contribute to disruptions.
- Centralized controls, and enterprise-wide support for predictive maintenance. A centralized platform and enterprise-wide support for predictive maintenance programs will ease the transition for programs that operated on traditional, reactive maintenance standards.
- Real-time insights and visibility into facilities assets that keep everyone informed. The ability to access real-time data and information about the facility assets improve facility condition and planning.
- Continuous improvement is the core function of predictive maintenance, refining maintenance schedules and stretching asset lifespan to its limits. Facilities Managers can use predictive maintenance to successfully “do more with less.”
Planning Makes “Almost Perfect” Predictive Maintenance
There is not a one-size-fits-all approach to using predictive maintenance in facilities, but Facilities Managers that take the time to understand the five core components of effective predictive maintenance program can help achieve above-average results and strong profitability. Facilities Management can be challenging, and making predictive maintenance decisions can be even more difficult for new or inexperienced Facilities Managers. Get the tools you need and advice to help by contacting ENTOUCH online or calling 1-800-820-3511 now.