The manufacturing process is broadly classified into two areas: discrete and continuous manufacturing. In continuous manufacturing, products are manufactured based on the recipes and processes in an efficient way applicable to healthcare (drug) and food/beverages manufacturing; discrete manufacturing is all about producing a final product by the assembly of various products. In these areas, data and analytics can play a key role in enabling the manufacturers to predict or forecast the events based on the real-time data, or to control the equipment in realtime for efficient manufacturing through a simple aggregation of the data to a complex analytic that can be used to train and build a machine learning model.
Manufacturing process
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