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Maintenance solutions

Predictive Maintenance

Predictive Maintenance

With our revolutionary predictive maintenance workflow, problems are gone even before they start. Get ahead of the curve with our predictive maintenance solution!

Trusted by companies all over the world

Before FAT FINGER

Unplanned downtime

Emergency maintenance caused by sudden asset failures is costly and impacts production.

Procedures are not followed

Without adherence to workflows, team accountability is at risk while asset reliability is decreasing.

Bad asset data

Little to no tracking and reporting of real-time asset data and its conditions leads equipment to the point of failure.

No gaps, no lags – stay on top with predictive maintenance workflows

FAT FINGER provides easy-to-use workflows to help you manage your predictive maintenance program on the go. With our intuitive workflow, you can drag & drop digital procedure, control scheduling, and manage preventive maintenance tasks to keep your equipment running at peak performance.

FAT FINGER - Intuitive digital workflow - Paperless and powerful

With everyone in sync, no task is missed

Managing maintenance checklists through FAT FINGER ensures that important tasks have not been overlooked and procedure have properly been followed. With our workflows, you can manage and monitor technicians and service providers’ work. Get a comprehensive view of all your assets, including repair history records, maintenance updates, SOPs and more.

FAT FINGER - Data powerhouse - Keeping everything in one place

“We highly recommend FAT FINGER for anyone who needs to stay on top of machine maintenance.”

Patrick Davis, Maintenance Department Head

Gain critical insights into your assets and boost reliability

Having access to the right asset data on each piece of equipment helps in anticipating maintenance so you can plan accordingly. Do integrations your way by connecting FAT FINGER into any system with our open API. Collect maintenance data on demand and make smarter decisions.

FAT FINGER - Advanced Analytics - What gets measured, gets managed

Change the way you work

Transition a world of reactive maintenance tasks into a centralized asset management platform.

Customized maintenance workflows made just for you

We empower EVERYONE to initiate and create positive change to streamline your company’s asset reliability and maintenance program no matter where you are. Access your own asset details and take customized work requests from creation to completion using your mobile device so you can fast when you needed.

FAT FINGER - Inspections for everyone - Anytime and anywhere

FAT FINGER gets you results in maintenance

Committed to improving the way organizations manage their maintenance operations – trusted by thousand of users across the globe

31%

Saved in maintenance cost

97%

Feel in more control of their assets

38.75hrs

Reclaimed per week performing maintenance

84%

Improved overall equipment effectiveness. More data means more actionable insights!

How does Predictive Maintenance work?

Predictive maintenance is an engineer’s best friend and a powerful tool for optimizing platforms in a manufacturing facility. Instead of having scheduled maintenance done on a predetermined timeframe, predictive maintenance uses data and technology to specify when maintenance needs to be completed to prevent costly breakdowns accurately. It works by collecting data from a facility’s various components and then using it to determine when parts need maintenance, as well as use algorithms or Artificial Intelligence (AI), if necessary.


Predictive maintenance can help save time and money, improve efficiency in the facility, and help ensure that safety standards are adhered to throughout the lifecycle of all machines.


Predictive Maintenance Technologies

Some of the most effective predictive maintenance technologies include oil analysis, vibration monitoring, thermography, emissions testing, and lubricant analysis.

Oil analysis is a reliable method for determining whether machinery runs in optimal condition.
Vibration monitoring tracks any irregularities that may indicate an impending problem.
Thermography uses infrared imaging to detect temperature anomalies which can alert engineers to possible component damage.
Emissions testing helps see excessive emissions from boilers and engines associated with excess oil burning or fuel sludging.

Lubricant analysis provides information about oil degradation and contamination, so trained professionals can develop strategies to prevent wear and tear on machinery components.

All these technologies are essential in keeping machinery up and running correctly over time.


Predictive Maintenance Vs. Preventive Maintenance

Predictive maintenance and preventive maintenance are two critical yet distinct approaches to improving the reliability and longevity of industrial machines.


Predictive maintenance utilizes data from sensors and predictive algorithms to anticipate when a device needs to be serviced. This proactive approach allows for routine check-ups based on machine usage, leading to increased operational efficiencies and cost savings.

Preventive maintenance focuses on adjusting and calibrating machines according to a regular schedule and parts such as bearings and drives being lubricated regularly. This tried-and-tested approach is designed to detect irregularities while machines run at average speed and behavior, enabling engineers to take corrective action before faults appear.

We keep you ahead of the curve

Benefits of Predictive Maintenance

Predictive maintenance is a versatile tool that can provide many benefits to engineers, both technically and financially.

1.Improves Equipment Life
Predictive advanced analytics capabilities can diagnose systemwide issues with up to 95% accuracy, which helps engineers troubleshoot problems long before they occur.

2.Provides Cost Savings
Predictive maintenance provides cost savings through reduced machine downtime as predictions of necessary maintenance allow for scheduled repairs and preventive actions.

3. Supports sustainability initiatives.
Predictive maintenance supports sustainability initiatives by optimizing performance while reducing energy consumption and waste materials generated during more frequent repairs.

With all of these advantages, predictive maintenance provides an invaluable service for engineers keeping tabs on the performance of assets.


6 Steps for Establishing a Predictive Maintenance Program

Step 1: Assess Your Maintenance Needs. Before establishing a predictive maintenance program, assessing your organization’s current maintenance needs is essential, as identifying which assets would benefit most from this strategy.

Step 2: Gather Data on Assets. Once you have identified the assets included in the predictive maintenance program, you will need to collect and analyze data related to their performance.
Step 3: Analyze the Data. Once you have gathered enough data on your assets, you will need to analyze them using specialized software designed for predictive analytics.
Step 4: Develop an Action Plan for Maintenance Activities. Once the analysis is complete and potential maintenance issues have been identified, you can develop an action plan for addressing them proactively rather than reacting after a breakdown occurs.
Step 5: Implementing the Program and Monitoring Performance Results. In addition to tracking any improvements in reliability or uptime levels due to the implementation of this type of system, it is also essential to monitor any changes in labor costs or materials needed.
Step 6: Create a checklist for predictive maintenance. Once predictive maintenance has been implemented, creating a checklist of tasks and activities that should be completed on a regular program’s continued success is crucial.

Be on top of your maintenance management program

Transition a world of reactive maintenance tasks into a centralized asset management platform.

FAT FINGER as your Predictive Maintenance Partner


Establishing a predictive maintenance program is critical for engineering, facilities, and manufacturing environments. FAT FINGER helps you stay on top of your maintenance management program to create an efficient system.

With FAT FINGER‘s intuitive interface and easy-to-use checklist, you can ensure that all your machines are running as smoothly as possible. FAT FINGER ensures that regular inspections are conducted to identify any potential problems before they become severe enough to cause a breakdown of the machine. It also allows engineers to easily keep track of their maintenance tasks and change parts to prevent unforeseeable faults from occurring.

Take the predictive maintenance process to the next level and invest in FAT FINGER, with the predictive maintenance workflow that will maximize your organization’s performance and efficiency. Click here to get started today!


About FAT FINGER:

Ensure front-line teams do their work correctly every time. Drag & drop digital procedures that unlock operational excellence.

In seconds anyone can build and deploy enterprise-grade mobile applications using an easy drag-and-drop no-code builder.

FAT FINGER uses machine learning to coach app users in real-time to make safer and improved decisions.

Try building your digital procedure on FAT FINGER for free @ www.fatfinger.io