HOW PREDICTIVE MAINTENANCE PLANS CAN HELP IMPROVE WORKPLACE SAFETY

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HOW PREDICTIVE MAINTENANCE PLANS CAN HELP IMPROVE WORKPLACE SAFETY

Although there are learning and personnel curves involved in implementing a predictive maintenance plan, the efficiencies of a more targeted, more effective maintenance practice prove themselves worthy of the investment.

A predictive maintenance program reduces unplanned production downtime by allowing better maintenance scheduling. It improves equipment safety and product quality through early identification of changes in operating conditions.
Predictive maintenance technologies include thermography testing, vibration and oil analysis, and ultrasonic leak detection. Before there’s any obvious sign of impending failure and safety hazards, replacement parts can be put on order and the work can be scheduled for a time that minimizes any plant injuries, fire hazards or any other impending dangers.

Where Predictive Maintenance Programs Make Sense

Few breakdowns happen without warning. The challenge is spotting the signs early enough to plan and schedule repairs. Predictive maintenance services provide that insight.

Predictive maintenance services focus on early detection of small changes in equipment operation. With enough data, these changes can be analyzed to reveal impending maintenance requirements, well before they affect production or machine uptime. Predictive maintenance equipment constantly monitors, records and analyzes numerous aspects of equipment operation to provide deeper and more timely insights than have ever been available previously.

Predictive maintenance technologies include thermography testing, vibration and oil analysis, and ultrasonic leak detection. Before there’s any obvious sign of impending failure, replacement parts can be put on order and the work can be scheduled for a time that minimizes production losses.

What is entailed in a predictive maintenance plan

The best predictive maintenance plan need to understand your operations, your equipment and your production uptime requirements — in the near and the long term. Since predictive maintenance services are data and analysis-driven, expertise is necessary to implement the predictive maintenance equipment required to collect the important metrics, and to then implement meaningful actions from them.

Although there are learning and personnel curves involved in implementing a predictive maintenance plan, the efficiencies of a more targeted, more effective maintenance practice prove themselves worthy of the investment.
A predictive maintenance program reduces unplanned production downtime by allowing better maintenance scheduling. It improves equipment safety and product quality through early identification of changes in operating conditions. Capacity increases when less time is spent on reactive maintenance and costs go down because there’s less need for overtime and rush orders.

A data-driven maintenance strategy

A predictive maintenance strategy uses data to drive asset management decisions. Traditional time or usage-based maintenance helps protect against breakdowns, but leaves the risk of doing too much, too little or the wrong type of work. Once we begin by establishing a baseline of current operating conditions, then, regular data acquisition and predictive maintenance analytics start to reveal important trends. By revealing the true causes of failure, the data from a predictive maintenance program can shape purchasing decisions, depreciation rates and planned replacement dates, ensuring greater machine operability and more importantly, workplace safety.