About Mahindra & Mahindra Ltd
Mahindra Group's parent company, Mahindra & Mahindra Ltd., is a dominant player in the Tractor and Automobile industry. It is both an operating company (Automotive and Farm Equipment businesses) and a holding company of all its investments in subsidiary and associate companies. M&M Ltd. is among the market leaders in the Indian SUV/ MUV segment and the world’s largest tractor company by volumes. Mahindra is truly a global company with its global neural network of R&D and manufacturing facilities as well as on ground channel network. Committed to ethical values, sustainable business practices, towards driving positive change, M&M creates value by judiciously and intelligently leveraging the multiple types of capital – not just Financial Capital, but also Manufactured Capital, Intellectual Capital, Human Capital, Social & Relationship Capital and Natural Capital.
Challenges faced before implementation
The manufacturing facilities need to be flexible for delivering quality product at an optimum cost. Organizations should be more responsive and agile to meet the customers demand.
The machinery and automation industry are changing rapidly with the emergence of new technologies. Traditional equipment which focuses on mechanical and electrical engineering disciplines should now respond with new data-driven solutions.
There were two main challenges that were faced before implementing the solution –
- Integration of new technology in obsolete machines
- No direct availability of data from existing systems
About industry 4.0 solution
In our factory, we have enabled our machines for data collection, by connecting more than 500 sensors. It is delivering the real time condition monitoring of equipment’s and provides prompt alerts of premature failure, thus increases the availability of the machines. The real time data of equipments are logged in to manufacturing execution system (DRONA) which provides the alerts in the form of emails / SMS to the concerned departments.
Secondly, predictive modelling provides the ability to automatically trigger the abnormality and thus enable us to take corrective actions.
Benefits acheived
- Through data analytics it is possible to drive intelligent decision making
- Machine maintenance is easy because of predictive algorithms
- 99% machine up time
- Reduction in maintenance cost