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Within the hectic production world, each minute a machine is not operational, you are losing thousands of dollars of revenue to the business. Contingent downtime is a silent profit killer that can ruin your production goals as quickly as possible and hurt your reputation that you will be striving to build.
The use of traditional reactive maintenance to merely repair equipment when it fails to work cannot be sustained any longer in the context of modern efficient operations that are highly efficient. Delaying a critical asset failure ensures that there is a massive increase in repair costs, an extreme form of workload backlog, and incessant frustration by your complete staff.
Condition monitoring is your secret weapon because it maintains your constant real-time pulse of the health of equipment to avert a failure before it occurs. Such data combined with a powerful platform such as Cryotos CMMS turns into an ironclad plan for keeping your operations running in terms of safety and smoothness.
Planned downtime is not merely a momentary interruption of your business operation; it is a money hole that affects all the tiers of your business. The first step to creating a strong, proactive maintenance strategy is to understand its real effect.
Stagnation of a machine means stagnation of revenue. On top of stagnant production, you are hemorrhaging money on quick delivery of emergency spares and overtime payments to have emergency repairs done in a hurry.
One damaged item does not malfunction on its own and generates a huge bottleneck. This domino effect stops whole processes, stalls workers, and ensures deadlines of clients are not met.
It is very devastating pushing equipment to failure. Small problems that are easily avoidable soon evolve into the secondary damage, which is irreversible, reducing the life of the machine greatly.
Condition monitoring refers to the strategic act of monitoring the real-time health of your machinery so that you can stabilize it in order to receive an early warning of the possible failure. The constant collection of performance information means that you can remove all the speculation in your daily business and are fully aware of when an asset requires attention.
Consider it a 24/7 medical check-up on your equipment. With the integrated high-quality IoT sensors, you constantly monitor the key parameters, including vibration, temperature, acoustics, and oil pressure, to immediately signal the anomaly before it results in a failure.
It is the jump between the olden-day calendar-dependent tasks to actual predictive maintenance. Rather than replacing a perfectly good part every 30 days as a matter of course, because it might fail, you replace the part only when the data indicates that it is actively wearing out, and you can maximize the life of any given component and minimize waste of labor.
Data by itself is virtually useless, unless it elicits action. Cryotos CMMS comes in like a savior to your maintenance operation there.
Cryotos can easily integrate with the existing IoT sensors and meters. It displays live streams of equipment data right onto a single centralized dashboard to provide you with a complete, bird's-eye view of the health of your entire facility.
This is the game changer in the end. When an anomaly is detected by a sensor—say, when an industrial motor has passed the safe operating temperature threshold or when a conveyor belt is vibrating unusually—Cryotos does not simply get logged into the data. It pre-creates and allocates a work order automatically prior to the failure taking place.
The spirit of predictive maintenance is time. The software will send the correct technicians an instant ping through mobile alerts, SMS, or WhatsApp with the precise location, asset history, and the nature of the issue to the techs to make timely intervention.
Cryotos does not only control the now; he knows what is to come. Its robust analytics and BI dashboards enable maintenance managers to make strategic decisions based on data over time by following trends in the performance of their assets that require repair or replacement.
Do not attempt to see all that simultaneously. Begin with a small group of machines that you identify as the mission-critical machines and would result in the worst production of bottlenecks, safety hazards, or financial loss in case of immediate failure.
Establish the standard operating parameters of these particular assets. Establish the appearance of safe limits with respect to temperature, vibration, or pressure, and thus you now have a good reference point as to what healthy performance entails.
Link your IoT condition-sensing sensors with the Cryotos platform. You can immediately start to capture live and real-time data streams of information through our smooth API and integration tools.
Deploy your workflows in the software based on rules. Have set limits wherein when a sensor passes a set point of a warning limit, Cryotos creates and directs a high-priority work order to the relevant personnel.
It is important that it is continuous improvement. Ask your maintenance managers to review the historic data and custom report of Cryotos on a regular basis. Apply this knowledge to implement an improved threshold, spare parts stock, and narrow your long-term predictive maintenance strategy.
Unplanned downtime is costly, an unstructured nightmare, which no business today can afford. Condition monitoring allows you to view the future of your equipment, and Cryotos CMMS offers the automated resources to execute the fix before a disaster has ever occurred.
Ready to stop reacting and start preventing? Book a free demo of Cryotos CMMS today and maximize your uptime.