In any batch manufacturing, understanding the variability is one of the fundamental task performed by Process Engineers. Variability is the deviation of individual parameter (univariate) or a group of parameters (multi-variate) impacting quality, productivity, cost etc. between different batches of the same SKU produced overtime. Many times, the production process…

In the context of manufacturing, looking into the future or in simpler terms forecasting is an art entirely driven by the experience of the individual. In this blog, I will talk about how right forecasting tool powered by advanced ML and AI help manufacturing organisations tackle the issue of aging…

Krishna is a slab quality inspector at an integrated steel plant. He is 180 days into this job. The steel plant he is working with, has has implemented several digital and Industry 4.0 technologies to improve the operational efficiencies a bit ahead of it’s peers. The platform they have implemented…

Progressive organizations have started adopting predictive maintenance as one of the enablers for their overall Asset Performance Management strategy at various maturity level. Predictive maintenance can be as simple as statistics based anomaly detection to as complex as leveraging Neural Networks to determine when an equipment can fail or what…

It is no more a word of wisdom that when used effectively manufacturing data can help companies grow and support the vision for a more efficient and successful organization. The best in class organizations better unlock the value of their data, so as to distribute this knowledge across their enterprise…