The equipment manufacturer embraced the industry 4.0 approach by implementing real-time monitoring of their machine operations, leading to enhanced performance and efficiency
Challenge
- Our client is a special purpose machine manufacturer, which is being widely used across the globe.
- Thus, whenever there is a failure in the machine due to some reason, service and maintenance becomes a tedious job for the technicians.
- Incapability of the machine users to critically define the failure, or reasons which led to the failure often causes the technicians to operate blindly in these circumstances until they reach the actual location of the failed machine.
- With the on-going decarbonization, digitalization efforts taken by companies around the globe to reduce their carbon footprint as well improve their production and factory floor efficiency.
- Our client approached us with the demands of improving their operations with data-driven systems and modelling approach
Our Solutions
- At MNES, we developed a data warehouse for their enterprise which collected and stored the information in a cloud.
- Identified and integrated essential elements of their enterprise in a digital thread, which was developed specifically to meet their digital transformation goals.
- We collected and processed data from the sensors, actuators and controller level and provided real time data feed of important key point indicators to a custom-built dashboard.
- With the help of cloud technologies such as Machine Learning, Artificial Intelligence, HPC’s, Data Analytics we were able to generate key insights into the machine operation and improve its performance on various levels.
Results
- With the help of the digital thread and the custom-built dashboard, we provided the following solutions to our client:
- The users were able to monitor the condition of the machine as well as set threshold limits to generate automatic alerts and emails.
- Using the data driven approach, we were able to generate useful insights and improve their overall efficiency by 15%.
- Allowed the service technicians to analyse the issues on the machine before appearing on the factory floor irrespective of their geography.
- Allowed the manufacture to optimize their machine and their processes even during the design phase.
Client
Machine & Tool manufacturing company
Industry
Machinery Manufacturer