Data analytics for lean manufacturing
Minimal loss through waste generation and maximum productivity are the dreams of any manufacturing organization but however both are opposite and a trade-off has to be made between the two to a certain extent. Data analytics can go a long way in making this trade off be optimum to the maximum extent possible. Using historical data and real time data, the machines can be optimized to reduce the waste to the greatest extent possible and also increase the productivity simultaneously. The integration of data analytics in Manufacturing is only possible through heightened understanding of data manipulation and generation which leads to better decision making processes. Aurelius can help organizations enable their workforce and make them adept in data analytics and processing. They in turn will be able to empower their organization in developing better data models which can improve upon the manufacturing procedures while increasing the production and decreasing the time and costs involved. This has direct implications to overall return on investment of the organization which is provided through the Internal Rate of Return provided through the consultatice insourcing solution.