MOVUS BLOG

To see if they could trust newly deployed FitMachines, a new customer responsible for monitoring air handling units [AHU] in a critical 24x7 environment decided to complete a simulated test.

If you're undertaking a reliability centred maintenance approach - or any maintenance program that requires condition monitoring - and only monitoring a handful of assets, you're likely shooting yourself in the foot. Of course, you likely rank equipment by criticality, but it's important to ensure you're getting the full picture of your fleet health. Utilisation, energy efficiency and overall fleet condition are particularly useful metrics for organisations.

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.

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.