Scrap and rework are unfortunate realities in manufacturing. Production inefficiency can stem from just about anywhere in the process, creating scrap that costs you time, money, and quite possibly your company’s reputation.
Eliminating scrap and rework completely is nearly impossible, but reducing it can be accomplished with an effective condition monitoring solution for predictive maintenance. By monitoring conditions such as temperature, pressure, and humidity, you can:
Even when things seem to be operating fine on the surface, assets are sensitive to a number of in-line and ambient conditions that can impact process efficiency. The general wear and tear on a hydraulic press can cause the pressure to vary, resulting in poor product quality.
With accurate condition monitoring sensors in place, maintenance staff can keep a watchful eye on pressure trends and identify fluctuating levels that could negatively impact the overall process. This helps them address those issues before they escalate into serious problems, up to and including unscheduled downtime.
Continuous manufacturing processes have any number of single points of failure that can bring production to a screeching halt. Being able to zero in on a particular issue area, or several, can help maintenance narrow down precisely what kind of repair work is needed and where it needs done.
Ultimately, this helps save time, as workers aren’t troubleshooting with a trial and error approach, allowing staff to perform maintenance only when needed and avoiding unnecessary routine downtime. Taking the guesswork out of maintenance also helps with part orders, minimizing unused repair parts.
Accurate and consistent analytics help plant managers refine and optimize their processes and systems; ensuring assets operate at peak performance to maintain the highest level of product quality.
Additionally, this information helps companies extend asset life, maximizing ROI as part of their predictive maintenance strategy. By using analytics to make more informed decisions on the day-to-day running of a facility, companies can keep things running smooth, which keep energy consumption costs down.
Parker’s condition monitoring solution for predictive maintenance is rooted in the Industrial Internet of Things (IIoT), providing substantially more data gathered than traditional monitoring means.
SensoNODE™ Blue and SCOUT™ Mobile utilizes Bluetooth technology to give plant managers wireless access to both real-time and historical data for a comprehensive picture of their assets’ performance, helping to improve labor efficiency with a quick and easy view of the sensor data.
Contact Parker's Condition Monitoring experts today to see how its SensoNODE™ Blue sensors and SCOUT™ Mobile software can improve condition monitoring for your predictive maintenance strategy.
Contributed by Dan Davis, product sales manager for SensoNODE Sensors and SCOUT Software, Parker Hannifin.