Mtelligence - Learn How You Can Instantly Improve Asset Performance

Maintenance typically accounts for up to 18 - 40% of cost of goods sold, and is one of the final frontiers to be optimized in the quest for efficiency.....Learn why leading Fortune 100 manufacturing & process companies have selected Mtelligence to improve return on assets and profitability.

Past efforts at improving asset performance and reducing maintenance cost have either focused on specific condition monitoring applications, such as vibration monitoring, or specific reliability techniques, such as reliability centered maintenance, using separate tools and models. The problem with this approach is that reliability and condition monitoring cannot effectively be done in a vacuum – they are part of the overall solution.

What is required is a new type of solution, which providers “maintenance intelligence”. One of its goals is doing maintenance on the right equipment at the right time, a tenant of Condition Based Maintenance (CBM). But it factors in the cost of maintenance, and the cost of failure. The problem with doing CBM alone is that you don’t know which CBM alarms to prioritize with emergency break-in maintenance. Similarly, when Reliability Centered Maintenance (RCM) is done without CBM, it results in excessive human inspections of equipment, when automated condition monitoring could have provided 24/7 surveillance.

Mtelligence delivers greater visibility and greater returns on asset performance through our Reliability Intelligence™ platform. Mtelligence solutions enable customers to maintain the right equipment at the right time, leveraging real-time plant data to prioritize and optimize maintenance resources. The company is a recognized thought leader in Open O&M and MIMOSA open standards, breaking down barriers to reliability by connecting plant and business, enabling increased availability, improved coordination between operations and maintenance, and reduced maintenance costs.

Mtelligence delivers significant improvements in uptime, reliability, and efficiency through our maintenance intelligence platform, including MIMOSA Interop Server™ and Mtelligence EAM™ Adapter Family.

• Mtelligence provides rapid, low cost implementations
• Mtelligence provides visibility into plant floor data
• Mtelligence provides Reliability Centered Maintenance success in a fraction of the typical time
• Mtelligence provides holistic asset health monitoring across technologies
• Mtelligence provides breaks down disconnect between Operations Technology and IT
• Mtelligence Integrates the plant floor directly to your EAM/CMMS system

The Mtelligence Product Suite:

Mtelligence breaks down what Gartner calls the barrier between Operations Technology (OT) and IT, combining information from several sources in order to determine the state of equipment and the best maintenance strategy. The Mtelligence Suite of products works seamlessly with most existing EAM/CMMS systems to provide the industry’s leading integrated solution for enabling maintenance strategy optimization via RCM, and condition monitoring for detectable failure modes via CBM.

• Mtelligence APM - Management visibility into asset & maintenance performance.
• Mtelligence CBM (Condition Based Monitoring) - Maintain the right equipment at the right time using your plant floor real-time data.
• Mtelligence RCM - Reliability Intelligence - A new approach to reliability.
• Mtelligence mVision - SaaS Equipment Condition Machine Learning.

If you are interested in learning about the Mtelligence Product Suite and the ease with which you can reduce overall maintenance costs while driving increased asset performance, please join us for this presentation and live demonstration.

Wonderware North provides Webinars (Web-Based Demonstrations) every 2nd and 4th Wednesday of each month at 2:00PM EST to provide information and updates on the products that we represent. To take part in one of our scheduled events, please e-mail, call us at 215-675-5800 215-675-5800, or Register online at: https://wonderwarenorth.webex.com/.