As the factories move more and more digital in terms of operations and control, the power of data and data driven decisions becomes evident. Experience based decisions will move to Data and Intelligence based decisions. Machine Learning, Data Sciences and analytics would start impact the core of Manufacturing, enabling significant improvements in operational efficiency, safety and quality.
Vegam offers complete solution to help migrate any factory today into a “Digital Factory”. Vegam 4i platform has so far enabled more than 40 factories globally to transform into Smart, Connected, Digital Factories, encompassing all aspects of Industry 4.0 revolution. Team Vegam not only offers a platform & solutions to make factories smarter, but also brings experience and insights needed to effectively transform factories of all sizes and complexities into a Smart Connected Factory of the Future.
IoT, Big Data and Analytics
Vegam brings electronics and software expertise in identifying the right architecture and sensor technologies for various needs at future ready manufacturing plants. Vegam also brings in integration capability to enable IIOT or custom sensors/machines data into the single related data store. With Vegam 4i, Vegam dStore and Vegam View solutions, Vegam is able to offer complete and custom solutions to enable IIOT and Sensor data collection and Analysis.
Prescriptive Production harnesses the accuracy of science, the power of machines and the judgment and problem-solving abilities of humans to apply forward-looking insights and remedial actions at the right time to ensure the highest level of production performance today and into the future. Below is a simple outlook of the prescriptive analytics process.
Get a view of what is happening inside the factory across man, machine, material and process
• Deep dive into data and understand the correlation
• Generate relevant information for decision support
• Create models to predict various manufacturing elements (Quality, Quantity, Efficiency, Effectiveness and Cost)
• Predict the degree of success of manufacturing elements
• Leverage the prediction to prescribe ‘intelligent actions’