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SAP Leonardo – Minimizing production downtime with Predictive Maintenance

Building upon the blog series on “Turning digital aspirations into reality with SAP Leonardo and Capgemini” we will be looking at how SAP Leonardo accompanied with IoT can be leveraged to minimise production downtime with predictive maintenance.

“Do your assets inform you when they need maintenance?”

Most organisations look after their assets only when they stop working and take corrective measures. There are some organisations that are slightly better off as they perform periodic maintenance to control failures but that often turns out to be costly and you also need planned downtime to carry out maintenance.

Corrective maintenance can be extremely costly as failure is unpredictable and it can also pose a risk to employee safety. Similarly planned periodic maintenance although effective is often too costly and it can also result in over maintenance of your assets. In today’s changing times organisations can benefit from best of both i.e. corrective as well as planned periodic maintenance if they listen to their assets. There are internal factors such as usage of the asset and external factors such as environment in which the asset is used which influence the asset performance, and if organisations listen to their assets and their environment they will be able to better predict when maintenance is required and plan repairs with greater efficiency to have minimal impact on productivity. The graphic below presents some interesting statistics about planned periodic maintenance –

Figure 1 – Planned periodic maintenance statistics

Organisations can listen to their assets using modern day sensors and internet of things. Parameters such as pressure, temperature, motion and many more can be easily tracked to measure the condition of an asset and therefore trigger maintenance activities only when required. This way of tracking assets not only helps prevent failure and breakdown but also can assist in predicting asset performance over a period under variable conditions.

With Predictive Maintenance, you can:

Embed Predictive Maintenance in your Digital Transformation Strategy

Most organisations today have a Digital Transformation Strategy to enable their businesses to adopt newer ways of working. Organisations which want to reduce their maintenance costs and boost productivity should certainly implement predictive maintenance for their assets.

Capgemini and SAP have partnered under the “Fast Digital for Discrete industries” initiative to deliver targeted solutions and accelerators using the SAP Leonardo platform.

These offerings can set your business up for success. By leveraging the Internet of Things (IoT), Machine Learning, Big Data and a host of other cutting edge technologies, together we can empower your business to become leaner and more efficient than ever before, thus creating an upward spiral of improvement and innovation that can only deliver better value with lesser cost.

As one of the key enablers for innovation in this area, Capgemini and SAP can utilize newer capabilities of Leonardo to capture vital parameters of your assets; for example when they breach the agreed thresholds and trigger actions to ensure effective maintenance of your assets and maximize their uptime. Below is an example of a simple predictive maintenance steps

Figure 2 – Predictive Maintenance scenario

This is just one individual case where SAP Leonardo can be leveraged to meet and exceed expectations, deflating one of the many challenges that asset manufactures or users face each day.

What else can be done? Let’s imagine the potential applications

The possibilities are endless if you start listening to your assets. As industry is getting ready for the fifth industrial revolution all organisations must upgrade not only their IT systems but also invest in smart assets by digitizing their existing investments. Capgemini experts with their rich business and technology knowledge can help you innovate with SAP Leonardo by identifying use cases and apply design thinking to develop minimum viable product which you can test and deploy across your assets.Find more information on the Capgemini Leonardo Services Website.

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