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4 Steps for Preventive Maintenance Optimization to Reduce Machine Downtime

Preventive maintenance is the latest hot topic in facilities management. Recent studies have found that the value of implementing a preventive maintenance program can be as high as 545%. However, the most comprehensive programs can achieve even higher savings through preventive maintenance optimization. It is not enough to simply perform manufacturer recommended maintenance and continuously inspect your equipment. Instead, facility managers that wish to reap the most considerable savings and reduced machine downtime should follow these four steps.

Connect, Track and Prioritize Preventive Maintenance

The first step is simple. Retro commission all facility assets by collecting information regarding the asset and installing wireless sensors to track asset function. This is essential to understanding the actual functioning and status of your assets on a day-to-day basis. Depending on your region, manufacturer recommendations for maintenance may skew, and merely waiting an extra month to perform critical HVAC system maintenance can be the difference between continued operation and cascading equipment failure. Furthermore, collecting more data about your assets allows for the continuous optimization of your facility maintenance schedule, helping facility managers determine when it is necessary to repair or replace an asset, as well as hold off on a repair until the next budgeting period.

Identify the Most Effective Plan for Each Asset

Each asset represents a steep investment for your organization, and making a last-minute decision to replace an asset is counterproductive. Every asset should have its own comprehensive preventive maintenance program, and this program must be designed to maximize the life expectancy of the asset and reduce its total cost of ownership. As a result, facility managers will need to apply data collected within step one to understand how to approach each asset and create a preventative maintenance optimization schedule for that asset.

Get Everyone Involved With Preventive Maintenance Optimization

Teamwork and collaboration are two additional factors that affect preventive maintenance optimization. A truly preventative maintenance program must still rely on the resources of building occupants, especially facilities management team members. In addition, non-facility management professionals, such as cashiers and stockers, should be involved with preventative maintenance planning and scheduling says Software Advice. By keeping everyone in the loop, the organization is likely to identify potential shortfalls within the data and issues that arise that have not necessarily been identified by data in the first place. Collaboration within your entire organization allows for the continuing improvement of preventative maintenance programs.

Refine and Repeat

Preventive maintenance is continuously evolving, and what worked yesterday may not necessarily reflect the best practices of tomorrow. Facility managers must apply data to make informed decisions and eliminate unnecessary costs. Through the application of such data, facility managers can drive cost avoidance savings higher and reduce the risk of disruption resulting from machine downtime. Machine downtime is a broad term, and it applies to all assets within your facility, including the building itself. The ongoing repetition and refinement within the preventive maintenance optimization plan will enable more significant savings and profitability, which translates into savings and benefits for those you serve.

Maximize Machine Runtime and Efficiency With a Preventive, Proactive Maintenance Strategy

Machine runtime is one of the biggest factors influencing the maintenance schedule. When machines run around the clock, maintenance must occur more often, and when sensitive machines, such as HVAC units, have a higher demand, such as during summer, maintenance schedules must change again. A preventive maintenance program is not about merely performing preventive maintenance before problems occur. It is about using data and technology to identify issues that are not visible to the naked eye and the continuous process of refining the schedule to maximize energy use and reduce the total cost of ownership.

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