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READYAsset Increases Plant Run Time Above 99% and Pays For Itself In Under 3-Years

LLumin's Insight

LLumin is excited to be featured in Rockwell Automation's The Journal Magazine where Red Cedar Gathering, reports in a 5-page spread, that LLumin's READYAsset is used for predictive and preventive maintenance and to track materials. The software has increased its energy plant's run time above 99% and paid for itself in less than 3 years.

Article Excerpt:
Red Cedar Gathering uses the asset management to do predictive and preventive maintenance by monitoring and analyzing historical and real-time data such as temperatures and pressures. “The additional data helps us keep a close eye on the condition of the equipment,” says Velasquez. “We now proactively measure the condition of our equipment and set historical and condition-based rules. We record machine data to see the condition of our equipment and use preset rules to identify out-of-spec conditions.” “We can also now analyze the data and optimize the treating capabilities. We keep tighter thresholds on temperatures now and have a more...

What’s the Difference Between Preventive, Proactive, and Predictive Maintenance?

Downtime in a plant or facility leads to lost productivity. It disrupts operations, causes maintenance staff to divert time from scheduled projects, and can have significant negative business implications, including lost revenue, significant unplanned expenses, missed deadlines and damage to a company’s reputation. To avoid these problems, manufacturers and facility and plant managers are moving away from traditional maintenance methods where you wait for something to break, and then you fix it. Reactive approaches like this result in disruptions and unplanned downtime. A better approach is preventive maintenance, which is a routine for periodically inspecting equipment with the goal of...

Will Smart Factories Remove the Need for Humans?

LLumin's Insight

Fully autonomous factories are in sight as manufacturers adopt Industry 4.0 technologies. Does this spell the end for human maintenance staff? Not likely. Many companies are moving to approaches that blend human and artificial intelligence, where humans and smart systems work together to keep plants running. An excellent example of this type of collaboration is a worker taking guidance, on what to fix and when, from an asset management system that triggers predictive maintenance alerts when it detects a problem in the making.

Article Excerpt:
The implementation of Industry 4.0 tech may increase the likelihood of fully autonomous factories, but it isn't the end for human workers on the shop floor.  

Predictive Maintenance Requires Accurate Data

LLumin's Insight

Predictive maintenance of equipment based on artificial intelligence models holds great promise. An asset management system could alert a plant or facilities manager that a piece of equipment is about to fail. However, predictions are only as good as the data they are based on. A false alarm triggered by a lack of data or inaccurate data can lead to incorrect actions and additional costs. Bottom line: predictive maintenance will only be able to predict those problems for which it already has accurate data.

Article Excerpt:
  Although the machine learning and artificial intelligence (AI) solutions that enable predictive maintenance are helpful, they’re only as helpful as they’re trained to be.  

DIU Brings Predictive Maintenance to the Navy

LLumin's Insight

The U.S. Navy is planning to use artificial intelligence-based predictive maintenance. The technology aims to eliminate unplanned downtime for critical shipboard systems powered by pumps and motors. Failure of such devices in a land-based plant or facility is disruptive enough. At sea, and in combat situations, breakdowns can endanger the crew. The initiative, which is headed by the Defense Innovation Unit, builds on previous Department of Defense AI-based predictive maintenance programs for the Army and Air Force.

Article Excerpt:
The Pentagon's innovation arm looks to expand predictive maintenance technology to Navy ships.

Is it Prime Time for Predictive Technology in MRO?

LLumin's Insight
Facilities are still sorting out the current value of predictive analytics in regards to maintenance, repair and operations (MRO). It turns out the key to success is having current asset data to complement historical data.

Article Excerpt:
The past few years have seen growing adoption of predictive analytics within the supply chain, but maintenance, repair and operations may not be the right place just yet.