eWorkOrders Predictive Maintenance Program empowers organizations with additional tools to create more accurate predictions on when a piece of equipment will require maintenance or replacement. Predictive Maintenance is a condition-based maintenance program where assets are monitored with sensor devices that supply data about the asset’s operation and possible defects. The data is used to predict when the asset will require maintenance or replacement.
eWorkOrders CMMS software solution will automatically create a work order when it detects that an asset has fallen outside of the defined parameters. Alerts will be sent to the maintenance team to assess and repair the issue. With the alerts being identified and sent directly to the technicians in real-time, the elimination of extensive downtime is minimized.
What is Predictive Maintenance
Predictive maintenance (PdM) is a proactive maintenance strategy that tracks and monitors the performance and condition of equipment during normal operation. These monitoring tools detect various deterioration signs, anomalies, and equipment performance issues. Based on these measurements, maintenance work can be done just before a failure happens.
Real Results – From Real Users
Ryan
An Easy-to-Use CMMS with Fast Setup and Exceptional Customer Support
eWorkOrders is super easy to learn and use! it is very easy to setup as well. They provide excellent customer service. When I have a question or concern, they respond within hours, not days. That’s h...
An Easy-to-Use CMMS with Fast Setup and Exceptional Customer Support
eWorkOrders is super easy to learn and use! it is very easy to setup as well. They provide excellent customer service. When I have a question or concern, they respond within hours, not days. That’s huge for me.
They always care about what we, the customers, want. I could not ask for better support. The product is super.
Ryan
Mike
eWorkOrders CMMS Streamlines Multi-Location Maintenance for 42 McDonald’s Restaurants
For the last 24 years, I have been managing the maintenance and repair of over 42 McDonald’s restaurants. The eWorkOrders CMMS has streamlined many processes and improved productivity in the managemen...
eWorkOrders CMMS Streamlines Multi-Location Maintenance for 42 McDonald’s Restaurants
For the last 24 years, I have been managing the maintenance and repair of over 42 McDonald’s restaurants. The eWorkOrders CMMS has streamlined many processes and improved productivity in the management of service requests, work orders, and communications between my team of 7 maintenance technicians and the restaurant GMs. Before the implementation of eWorkOrders, we were keeping individual lists at the various stores of repairs and requests. Having to manage all of the maintenance for all of these facilities, equipment, coolers, etc., left me and my team with some very long lists to manage. Although we thought that the process was working fine, we knew that there had to be a more efficient way to manage our facilities. After meeting with Norm, my account representative, he understood my challenges and did a demo of eWorkOrders CMMS software that showed me the capabilities and how eWorkOrders could improve my existing processes. We decided to implement eWorkOrders throughout our restaurants. That was the best move I have ever made! The store GMs all love knowing that all of their requests they entered into the eWorkOrders system are being tracked and will be completed in a very timely manner, including the ordering of parts, etc. With the robust standard set of reports, we can now track activities at the individual and store levels and analyze the data for improvements. Being able to put in a service request and manage work orders from a mobile device is just awesome! I wish I had eWorkOrders years ago. Thank you, Norm for your help and professionalism in getting us up and running with eWorkOrders. Norm is always available when I have questions or issues to improve what I’m doing, since I’m not the most proficient person when it comes to computer stuff. The good news is you don’t have to be. Hope I’m not sounding like a salesman because I’m not, I’m just a very satisfied customer. Read the full case study
Mike
Rhett
Saved $150,000! eWorkOrders Understands Customer Requirements
eWorkOrders saved my client (Virginia Department of Transportation) over $150,000 a year in headcount alone! Before they implemented eWorkOrders, VDOT was managing multiple systems, with multiple plat...
Saved $150,000! eWorkOrders Understands Customer Requirements
eWorkOrders saved my client (Virginia Department of Transportation) over $150,000 a year in headcount alone! Before they implemented eWorkOrders, VDOT was managing multiple systems, with multiple platforms. Being a government facility, they are very conscious of budgets and expenses. With the eWorkOrders CMMS solution, they have all of their inventory and asset information, documents, schedules, and information stored in one centralized location that can be accessed from anywhere, at any time! Through the implementation and the ease of use of eWorkOrders CMMS centralized solution, they no longer needed multiple people managing multiple legacy systems and were able to reduce their headcount and utilize these employees in another area. Overall, the system saved time, money, and increased productivity and efficiency.
It has been great working with the eWorkOrders Team! They understood my customers’ needs and requirements, budget constraints, and worked with them to quickly get them up and running on the software.
I highly recommend this team for any company that really wants to achieve success with a new CMMS solution. It is really nice to work with a team that listens to what you want and need and delivers a solution with an exceptional outcome! eWorkOrders is in the business of successfully assisting organizations through the implementation process and making sure that customers are comfortable with their system. eWorkOrders has the best professional, technical, and management team who all work together to ensure customer satisfaction!
Rhett
Explore Additional Testimonials & Case Studies
Predictive vs. Preventive Maintenance
Predictive Maintenance monitors the performance and condition of equipment during normal production operations. Predictive Maintenance estimates the exact moment of a failure, and repairs can be scheduled when necessary. This is a cost-effective approach with minimal impact on production.
Preventive Maintenance tasks are completed based on a recurring time schedule or a given amount of usage or cycles. A planned and scheduled maintenance routine is put in place to extend the life of assets and reduce downtime. The maintenance is performed on predetermined assumptions, based on manufacturers’ recommendations or history.
Predictive Maintenance Objective
The main objective of Predictive Maintenance is to first predict when equipment failure might occur (based on certain factors), and be able to prevent the failure with regularly scheduled and corrective maintenance.
How Predictive Maintenance Works
Predictive Maintenance depends on condition monitoring, which collects and analyzes data from the machine during operations, to ensure the optimal use of equipment.
There are three main elements that allow PdM to track asset conditions and alert technicians about projected equipment failures:
- With real-time tracking, each piece of equipment is monitored through installed and fitted sensors that capture data about equipment deterioration and performance.
- Internet of Things (IoT) technology collects and shares the data enabling the assets to communicate, work together, analyze data, and recommend appropriate action to be taken directly based on how the system is set up.
- Predictive Data collected is analyzed using predictive algorithms that identify trends when an asset will require repair, servicing, or replacement.
Predictive Maintenance/Condition Monitoring Techniques
There are numerous condition-monitoring devices and techniques that can be used for effectively predicting failure, as well as providing advanced warnings for maintenance teams. Some of them include:
Infrared Thermography / Temperature Measurement
Infrared thermography is used to detect heat variations in machines and equipment. By capturing thermal images, infrared cameras help identify overheating components, allowing technicians to address potential failures before they escalate.
Ultrasonic Monitoring / Acoustic Analysis
This method uses high-frequency sound waves to assess the condition of bearings, rotating parts, and other machinery. It helps detect leaks, gear faults, and lubrication issues that could lead to equipment failure.
Vibration Analysis / Dynamic Monitoring
Vibration analysis is essential for high-speed rotating equipment, as it measures vibration patterns to assess a machine’s health. By analyzing these signals, technicians can detect imbalances, misalignments, or worn components before they cause major breakdowns.
Oil Analysis / Tribology
By examining oil samples, technicians can determine the presence of contaminants, metal particles, or signs of wear. This helps ensure proper lubrication and prolongs the life of mechanical components.
Laser Interferometry
A precision measurement technique that uses laser-generated wavelengths to detect even the smallest changes in wave displacement. This method is valuable for ensuring structural integrity and component alignment.
Motor Circuit Analysis
This process involves computerized testing of electric motors to evaluate their overall condition. It helps identify faults, insulation breakdowns, and early signs of electrical failure, ensuring reliability.
Radiography / Neutron Imaging
This technique uses radiation to inspect internal structures and detect hidden defects in machinery. It provides a non-destructive way to assess material integrity and prevent failures due to unseen damage.
What Circumstances Call For Predictive Maintenance?
Predictive maintenance (PdM) applications include those that: possess a crucial operational role and possess failure modes that are reasonably predictable with routine monitoring.
Some applications that predictive maintenance is not appropriate for include those that don’t perform a critical task and do not have a cost-effective predictable failure mode.
