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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...

Overcoming the Knowledge Gap

LLumin's Insight

Every plant has that one person (or two or three people) who can look at data or metrics about a piece of equipment and spot problems before they happened. Unfortunately, many skilled workers are now leaving the workforce, taking with them essential expertise. The solution is to look at an expert system that can help capture institutional knowledge and suggest actions when certain conditions are detected.

Article Excerpt:
After years of working with customers to implement software and systems that gather data, I’ve noticed the process is often implemented backward.

Top Safety Concerns in the Manufacturing Industry

LLumin's Insight

With high-speed industrial equipment running all the time and with materials that can be flammable, irritating to the skin, or toxic, manufacturing plants must always guard against industrial accidents. Two of the top safety concerns are poor maintenance and under-trained employees. A way to ensure safeguarding of your employees is to ensure equipment is optimally maintained and staff safely uses and manages materials.

Article Excerpt:
Exposed wires, fatigued workers, poorly maintained equipment. Manufacturing facilities are riddled with risks, both hidden and out in the open. If you don’t know where to begin looking, such hazards can result in serious injury or death.

Selecting a CMMS: Stepping Up Your Public Asset Management Game

LLumin's Insight

Municipal water utilities are made up of assets, including pipes, valves, tanks, pumps, wells, hydrants, treatment facilities and other components. To effectively manage such public assets, you need to know what they are and where they are located. Decision making to manage such assets requires data collection, data management and analysis. The Water Finance Research Foundation says that municipal utilities that move from paper-based systems to computerized maintenance management systems (CMMS) can realize an estimated 12 to 18 percent cost savings.

Article Excerpt:
A water utility strives to progress along a cost savings path moving from paper-based reactive work orders to a planned maintenance strategy using a CMMS to gain an estimated 12 to 18 percent cost savings.  

Water Systems And Legionella

LLumin's Insight

Facilities managers and asset management tools are being called on to play a major role in reducing the spread of Legionnaires disease. With incidents on the rise, the National Academies of Sciences, Engineering and Medicine developed recommendations to manage Legionella in water systems. The guidelines call on facilities managers to monitor water heaters and water temps and create a cooling tower repository that tracks their locations and cleaning schedules. All of which can be done with an asset management solution like LLumin READYAsset.

Article Excerpt:
A recent report suggests a range of approaches can and should be used to better protect the public from Legionella bacteria.  

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.  

How Automated Workflows Improve Incident Reporting Compliance

Construction zone with man
LLumin's Insight

For years, manufacturers have submitted OSHA 300A forms covering work-related injuries and illnesses. Last year, OSHA required businesses to submit them digitally. Manufacturers that tracked such processes on paper needed to make a change. A smart way to transition is to make reporting part of a broader safety compliance effort based on a materials tracking and inventory management solution such as LLumin’s READYTrak, which can help ensure the enforcement and automatic documentation of compliance processes.

Article Excerpt:
Last July, OSHA began to require U.S. businesses to submit their 300A forms digitally.  

How to Fit Artificial Intelligence into Manufacturing

LLumin's Insight

Artificial intelligence (AI) is being used in many manufacturing areas from robotics on factory floors to predictive maintenance to prevent equipment downtime. However, AI is still a new technology. Companies lack expertise in its use, and they need to guarantee a return on investment (ROI). Rather than being widely embraced, the use of AI in most plants is gradually phased in in the form of testbeds and smaller projects. Such projects help prove out the technology for expanded use.

Article Excerpt:
What is holding up AI adoption, and where is it already in use?

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.