Maximize uptime with predictive maintenance
There are two keys to success in today’s disruptive marketplace—an exceptional customer experience and speed. But, there is one major roadblock to achieving both goals: downtime. Time is money and downtime is costly. In addition to the lost productivity, the average cost of downtime for a Fortune 100 company is $1.25 billion to $2.5 billion US.1
How can organizations be “always on” to start ahead and stay ahead?
Read the OpenText white paper, Get—and stay—ahead of the next action, to explore:
- An in-depth use case that illustrates a predictive maintenance solution in action.
- The benefits and ROI of predictive maintenance.
- The top disruptive technologies that power predictive maintenance solutions.
Boost business continuity—Move from preventive maintenance to predictive maintenance
Predictive maintenance combines artificial intelligence (AI) and the Internet of Things (IoT) to enable automated and continuous reporting on machinery and predict necessary maintenance actions before a problem occurs. Predictive maintenance solutions can forecast when equipment is likely to fail, and also automate the repair and maintenance. This helps organizations reach new levels of efficiency by moving from preventive maintenance to predictive maintenance.
reduction in maintenance costs2
decrease in equipment breakdowns3
reduction in downtime4
increase in productivity5
Top 6 disruptive technologies that power predictive maintenance solutions
Internet of Things (IoT)
Offers a range of sensors and device connectivity options to measure equipment or product performance
Predictive analytics software
Analyzes information from sensors and other sources to predict whether a part or sub-system is likely to fail and recommend the best maintenance actions
Digital process automation software
Powers process orchestration of logistics, such as scheduling, customer appointments, delivery patterns or inventory adjustments
Digital business ecosystem software
Sends purchase orders for part replacements to suppliers automatically, so the parts can be delivered to the customer location
Identity Access Management (IAM) software
Provides secure external access for third party maintenance engineers to get internal access to proprietary product or part information
Enterprise Content Management (ECM) software
Manages and centrally archives historical sensor information and digital assets associated with the product or part
Learn about the benefits of a predictive maintenance solution
Get a bird’s eye view of the customer experience and the uptime benefits of predictive maintenance.
Knorr-Bremse enhances analytics platform capabilities with OpenText.
- 1 DevOps.com, "The Real Cost of Downtime."
- 2 Deloitte, "Predictive Maintenance: Taking pro-active measures based on advanced data analytics to predict and avoid machine failure."
- 3 Ibid.
- 4 McKinsey Global Institute, The Internet of Things: Mapping the Value Behind the Hype.
- 5 Deloitte, Predictive Maintenance: Taking pro-active measures based on advanced data analytics to predict and avoid machine failure