The Downtime Your EAM Data Can Prevent
Downtime is inevitable in the manufacturing industry and most certainly in the auto industry. Most of the causes can be preventable but downtime occurs for a few reasons that make the whole manufacturing process come to a halt. Material issues, shortage of operators or unscheduled maintenance from a system failure are all unplanned for. There are also the causes...
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Millions of Assets, One Location
When established asset-intensive intensive companies are looking to improve their data, a common issue that many face is having their assets on multiple legacy systems but not in one central location. Multiple legacy systems can create duplicated material, causing a multiplication effect in not only time but cost as well. Small companies may be able to get away with it...
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Poor Quality Data Costing Trillions
$3.1 trillion. That is how much IBM estimates the yearly cost of poor quality data. This is despite companies spending billions already to maintain their data. According to the Harvard Business Review, what makes up that mammoth figure is the “Hidden Data Factory” in which data users waste time dealing with error-prone data, correcting flawed data, etc. If this...
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Poor Data: Stop The Virus
Many asset-intensive organizations depend on the data in their EAM or CMMS systems to drive the maintenance practices that keep their business running efficiently. When you have poor data quality that is incomplete and inaccurate it affects your company as a whole. The Consequences of Poor Data Effective and efficient are two terms taken very seriously in an asset-intensive...
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Get on the RDS-PP and KKS Bandwagon
Today, RDS-PP and KKS are the go to for power generation companies that want to adopt proper standards. This is a classification system that will allow for systematic and accurate classification of all parts of a power generation plant. This identification system serves to identify sections of plants and items of equipment in any type of power plant according...
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Aim for a gold medal in maintaining your asset management data!
The Winter Olympics are upon us and believe it or not, good asset management plays a huge role in ensuring how smooth the 17-day event runs! The Olympics are a huge sporting event that requires proper asset management and planning especially with all the construction for the Olympic Village. This includes lodging for all athletes, and any sporting facility that...
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Dr-EAMs can come true with better visualization
Efficiency is the dream when it comes to dealing with a work order. Being able to quickly find and visualize your assets, equipment and parts is very important. Some asset-intensive organizations are still using ancient methods of locating assets and equipment. However, there are many ways you can increase wrench time and save in ongoing maintenance and operations cost...
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4 Struggles That Companies Face with Incomplete and Inaccurate CMMS Data!
Like most asset-intensive companies, you strive to have complete and accurate data. You also want the ability to analyze the quality of asset and maintenance data in an EAM/CMMS system. To accurately predict a completion date for a data repair project, you must ensure that your data is complete and accurate. If these criteria are vital for an efficient...
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Building & Sustaining Your Asset Data Foundation
What is an Asset Data Foundation? An Asset Data Foundation is made up of high-quality master data, including Maintenance Master Data, accurately reflecting the physical plant and its needs. This data stands as the backbone of effective Maintenance Work Management and Asset Management. For asset-intensive organizations, the range of data extends from assets (functional locations, equipment) through their attributes,...
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Turn EAM / CMMS Data Nightmares into Dreams Come True!
Although asset-intensive organizations rely heavily on data in their EAM or CMMS systems, it’s the maintenance practices that keep businesses running and profitable. Hence, when poor quality data is at the forefront, the effects are often most apparent within the maintenance organization. Consequently, bad data not only infiltrates every corner of the maintenance structure, it affects the whole enterprise....
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