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eRPortal is now LLumin! – Learn more about our new brand identity here.

Explore LLumin’s latest blog posts, expert advice, news, and commentary. Learn more about the features of our innovative blog here.

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.  

Marrying Asset Management with Augmented Reality

Augmented reality (AR) allows users to enhance their field of view with real-time superimposed digital information. The technology is now being more widely used in maintenance and repair operations, and its value is enhanced when complemented with data and historical knowledge from asset management systems. Using AR in maintenance and repair allows technicians to receive information about specific assets instantly. Similar to the way a person can use different monitors and projection devices to view data, an AR system would take data (in this case from an asset management system) and project it onto goggles or camera-enabled mobile devices for...

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.  

LLumin has been approved to attend the Emerson Global Users Exchange Conference

[Nashville TN, September 23, 2019] - LLumin, Inc is pleased to have been accepted to participate in the Emerson Global Users Exchange Conference September 23-27 in Nashville, TN. Participation in the Emerson Global Users Exchange Conference is by invitation only and all applications go through a vetting process that determines acceptance. LLumin is an industry leader in operations software solutions for the Computerized Maintenance Management System (CMMS), Asset & Materials Management and Environmental, Health & Safety (EHS) markets. LLumin’s sophisticated operations software for managing assets and materials provides the transparency and visibility needed by industrial plants and facilities with heavy...

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.

How Can READYTrak and READYAsset help your Supply Chain?

Asset tracking in supply chains is undergoing many changes that promise to deliver new benefits. Traditional asset tracking technologies like barcode and RFID ID are being supplemented or replaced with IOT enabled tracking methodologies. These new Internet of Things (IoT) devices can provide real-time tracking, as well as information on the condition of items in the field or in transit. Specifically, tracking tags and sensors can provide real-time location data about goods in transit or sitting in a warehouse. Additionally, some sensors can collect temperature and pressure data, or whether packaging is damaged. Unfortunately, many companies that use such sensors...

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