The words “artificial intelligence” conjure up ideas about the future that are by turns exciting (self-driving cars) and terrifying (HAL from 2001: A Space Odyssey).
Artificial intelligence and automation has made greater and greater strides within the manufacturing industry. The question on many people’s minds is just how far these digital tools will go in managing processes that are currently human-led.
Manufacturing is an industry driven by competition and the best way to come out on top is to prioritise efficiency. The companies who turn the most profit are the ones who have figured out the most effective processes and procedures. Overall equipment efficiency is a measure of how well organisations maximise their output, minimise their downtime, and generally run like a well-oiled machine.
Are the goals of ‘Maintenance 4.0’ achievable or a pipe dream? We believe the former (and discuss how to achieve these goals). We’re currently in the midst of Industry 4.0, or the fourth industrial revolution. This era is defined by growing automation and data exchange in industrial technologies. Some of the tools that are now at our disposal include:
In a previous post, we outlined the basics of equipment criticality: what it is and why it’s important for prioritising inspections and maintenance work.
Understanding your equipment criticality can go a long way towards increasing efficiencies and hitting key targets.
An extra percentage of uptime and productivity can have a huge impact on your business.
Asset fitness and asset performance management are crucial to staying efficient and profitable.
We previously released a checklist for you to self-assess where your organisation falls on the Asset Performance Management Maturity Model. Well, once you’ve undertaken an APM review, the next step is to determine how you can improve. So here are some steps you can start taking right away to level up your APM swiftly.
The words ‘unplanned downtime’ fill operations and management teams with dread. This is because unplanned downtime leads to huge costs for companies, particularly asset-intensive industries like manufacturing. In fact, the number is upwards of $50 billion a year industry-wide, according to recent figures.