Increase manufacturing efficiency & profits with batch optimization
December 19, 2022/2 min read
Easily ingest production data
Instantly ingest production process data from sensors or other IoT sources as well as transactional batch data through an intuitive Dataiku app without writing code or performing manual modification. Deploy the resulting insights and give access to Production Engineers and other technicians to accelerate monitoring and decision making.
Move from data aggregation to accelerated insights
With this Dataiku Solution, turn IoT data into insights and decision making drivers. Predict risk of success or failure for recipes or products with a transparent ML model. Understand root cause, visualize insights on historical batch process performance, key failure patterns, and their impact on future success, then enable operators and maintenance to intervene before failure happens.
Understand root cause of failures
Perform AI-powered root cause analysis by studying sensor data per batch and recipe or product. The Batch Analysis Dashboard improves production performance by training and deploying current AI models and leveraging all relevant data for your equipment and its use.
Evaluate batch quality results
With Dataiku’s comprehensive flow, get simple aggregations by recipe and equipment through advanced analytics, then process variability across batches. Leverage powerful root cause analysis on charts and graphics, then adapt the flow to your manufacturing process.
Answer key industrial production questions
The Dataiku Solution for Batch Performance Optimization helps answer a broad range of questions like: How do I improve production performance and leverage all data from my equipment? How can I explore the root causes of process upsets? How do I provide insights to engineers, operators, and maintenance in the plant? How can I predict batch failure and intervene before failure occurs?
Read the documentation on batch performance optimization
Improve batch throughput and yield in dynamic conditions
Enhance the capacity to dissect vast volumes of production process data and easily develop actionable insights for technicians, operators, and reliability and process engineers to understand root cause of failures and predict batch outcomes. Accelerate the move from reaction to anticipation in batch manufacturing.
