The Dataiku Solution for Manufacturing Process Control embeds statistical process control (SPC) directly into your data workflow, eliminating the need to move trial run data between disparate tools, and accelerating your path to validated production settings.
Upload data collected during trial runs to validate new parameter settings. The solution integrates with Dataiku’s Parameter Analyzer application to automatically import saved studies and pre-fill configuration settings. Define your specification limits and targets to establish the foundation for Statistical Process Control (SPC) validation.
Automatically create industry-standard SPC control charts to monitor process stability and identify special cause variations. The solution produces X-bar, R, S, and individual measurement charts. Customize your analysis by defining dataset parameters, study variables, and subgroup sizes to enable immediate identification of out-of-control conditions.
Assess process capability with automatic calculations of key indices including Cp, Cpk, Cpm, and Cpkm. The solution generates histograms that visualize data distribution against specification limits. These metrics provide quantifiable proof that optimized parameters will deliver consistent quality at scale, supporting confident transitions from trial to full production.
The solution works out of the box and is fully customizable through low-code capabilities. Easily adapt control limit calculation formulas to match your team’s specific SPC methodologies. Customize dashboards to align with your process needs and reporting requirements as your manufacturing environment evolves.
This solution transforms the SPC validation step into a seamless part of your process. Dataiku embeds process capability analysis and SPC control charts directly within your data workflow alongside parameter optimization and quality prediction. Execute the full spectrum of Industry 4.0 use cases with a single, governed platform.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.