Dec 15, 2019 | MRiAM News
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.
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Dec 12, 2019 | Data in Asset Management News
We are all connected: to each other, to our devices, and to a vast number of systems within the government and private sectors. This is quite obviously due to the arrival of the Internet of Things (IoT), those wearable and portable devices that connect us to the internet. Such gadgets yield copious amounts data, and present both huge challenges and fabulous ways to build value. Known as big data, it has totally revolutionised the way many businesses and organisations operate.
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Dec 9, 2019 | MRiAM News
Throughout the month of December, we’re taking a closer look at predictive maintenance, with an article each week to showcase its importance in relation to asset management. If you missed the first one you can find it here, or read on to enjoy our next thrilling instalment.
As noted in our first article, predictive maintenance is all about forecasting future failures in your assets. In other words, predictive maintenance offers a view of what was previously unseeable, and therefore take maintenance operations to the next level.
That’s all very well, but how is predictive maintenance best implemented? The answer lies in data.
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Dec 8, 2019 | Data in Asset Management News
You can’t be in the contemporary world and be unaware of data: its volume, its importance, and its pitfalls. Whenever we download an app, or buy something online, or even just sign up to a newsletter, we are giving the business our personal data. That business then has the opportunity to leverage that data to its own benefit.
Take Google, for example. The powerhouse began as a simple search engine in the late 1990s, but has woven its way into knowing every aspect of our lives: job searching to dating, where we travel and what we buy. The data—to say nothing about the huge breach in privacy currently being investigated by the ACCC—held by Google is beyond anything we can possibly imagine.
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Dec 3, 2019 | MRiAM News
Welcome to the first of four in a series of predictive maintenance. Throughout the month of December, we’ll be taking a closer look at predictive maintenance. In this article, though, we’re going to start at the very beginning, because according to Rodgers and Hammerstein, it’s a ‘very good place to start’. The first paver on the road to incorporating predictive maintenance, and the journey to building value from your assets, lies in understanding:
What is predictive maintenance?
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Dec 1, 2019 | Government Community of Practice News
Great turn out for the Perth Chapter’s second Government in Asset Management Forum. Thank you to the Treasury Department for sharing an overview of their Strategic Asset Management Framework, the Water Corporation for hosting the event and thanks to those who participated in the forum and discussions.
