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The goal of this adapt and apply solution is to show how Dataiku can be used to reduce inefficiencies and equipment downtime in batch process manufacturing. More details on the specifics of the solution can be found in the knowledge base. This Solution is only available on installed instances.
Be it to produce bulk chemicals, packaged goods or to perform critical cleaning processes in food and drug production, batch processes form a critical part of the manufacturing value chain where inefficiencies cost billions of dollars each year. At a time when supply chains are stressed and raw material prices are increasingly volatile, the need to maximize equipment utilization by reducing downtime and to improve yield by reducing unnecessary waste becomes even more critical. The proliferation of IoT devices and centralized data collection systems for plant automation networks has led to unprecedented opportunities for enterprise manufacturers, with a potential for up to +15% in throughput increase(1).
The challenge ahead is now to turn the mountain of data produced by automation networks into insights actionable by Engineers and other professionals running batch manufacturing processes. With this solution, organizations can quickly enhance their capacity to dissect vast volumes of production process data. They easily develop actionable insights for technicians, operators as well as reliability and process engineers to understand root cause of failures and to predict batch outcomes – accelerating the move from reaction to anticipation in batch manufacturing.