The devil is in the detail when it comes to keeping an operation running smoothly – and a closer look at something as simple as the oil used in machines can be hugely revealing
The benefits of data analysis have been widely acknowledged for decades. But getting that data from a machine into an analytics platform – and being able to work with it in real-time – is far from commonplace.
Now smart sensors, the Industrial Internet of Things (IIoT), connected supply chains and more are opening up a world of possibility. But you don’t need a smart factory to start putting intelligence at the heart of your maintenance operations.
Oil’s well that ends well
Oil is one of the most abundant materials in engineering. This ubiquity means it can be easily overlooked – but it has a value that goes beyond the immediately obvious.
Taking an oil sample from a piece of machinery can provide a wealth of information. The presence of sediments and unexpected properties, such as tiny fragments of metals, can be a clear indicator that all is not well.
In fact, the overwhelming majority of cases of mechanical wear can be attributed to lubrication contamination. Between 50% and 80% of rotating asset failures could be attributed to lubrication errors. Massachusetts Institute of Technology (MIT) has estimated around $240 billion is lost each year in the US alone because of manufacturing equipment damaged by poor lubrication.
The quality of the oil doesn’t just show the oil itself needs to be changed. It could also help predict an impending component failure. And the problem might not be as simple as the oil being old, as when servicing a car, for example – it might be the wrong choice altogether. Given that lubrication is a common point of failure, identifying the right lubricant and using the right amount of it is a vital part of avoiding asset downtime.
Step-by-step progress
Creating a sustainable strategy for enhanced lubricant selection is best approached iteratively. As with many planned changes in business, there is a risk that the size and scale of the challenge can be off-putting. The process followed by RS Maintenance Solutions is based on the Japanese 5S framework, whether as a completely outsourced or turnkey programme.
The 5S name breaks down like this:
- Seiri – sort: Remove any unnecessary distractions via a regular cleaning and maintenance regimen
- Seiton – set in order: Ensure critical items are always the most readily available
- Seiso – shine: Keep working environments clear to make it easy to spot if anything is out of order
- Seiketus – standardise: Create standardised processes that everyone understands and can follow
- Shitsuke – sustain: With everything else in place and no deviations from the process, everyone can maintain excellence and sustain it.