AMCouncil November e-news is out now, packed with all the latest and greatest AMCouncil happenings and news from the past month, including a links to some great maintenance and data in asset management articles.
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In our fourth instalment on data this month, we have a look at how data quality can build trust.
You may remember the previous article on data related to Google and the case brought against them by ACCC, who alleges the digital powerhouse has been less than honest with the public about what they do with our personal data. If you didn’t read it, check it out. It is a prime example of how data inaccuracies or ambivalent disclosures can break the trust of your customers.
In this our fourth article on Predictive Maintenance, we look at how predictive maintenance techniques can set your business on the path to asset management maturity.
Predictive Maintenance, as we’ve seen over the last three articles, uses analytics to predict an asset’s condition, future reliability and general maintenance requirements. And we also know that maintenance increases the availability and longevity of assets and generates revenue.
I don’t know how many readers of this article were fans of IT Crowd, the British comedy series from the late 2000s, following three staff members who work in the IT department of a fictitious company. The show is responsible for phrases that are now well and truly part of our vernacular, such as ‘Have you tried turning it off and on again?’ But one of my favourite episodes of the show relate to Google. It’s where Jen says, ‘If you type Google into Google, you can break the internet.’ Of course that can’t happen and Jen’s co-workers, Moss and Roy, knew this all along.
Thank you for joining the Asset Management Council in our third article on predictive maintenance. In our previous two articles, we gained an understanding of what predictive maintenance is, and data’s role within it. Today, we follow on from the latter, with a specific example in Melbourne.
If anyone reading has ever been on a tram in Melbourne, you’ll know the network is extensive and reliable. As a tram ambles along its tracks, most passengers have their heads down staring at their phones, or nodding off to music. Some on board might be alert for Myki inspectors, ready to clamber off to avoid a fine. Given these distractions, many on board would be unaware of how the smoothness of the tracks or weeds sprouting along the track might impact a tram’s journey.