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Maximize production efficiency and reduce costs

December 5, 2022/1 min read

Improve production efficiency with ai

Adapt a structured, comprehensive flow to existing manufacturing processes by ingesting all relevant enterprise, operational, and external data. Then, improve production efficiency by training and deploying continuously updated AI models.

Discover the production quality control flow

Improve Production Efficiency With AI

Follow production near real-time

Give AI-powered insights to production engineers and quality engineers with a business-friendly Production Quality Dashboard. Run on your existing processes and track the factors with the highest impact on production quality.

See the solution in action

Follow Production Near Real-Time

Understand production anomalies

Use fully-explainable AI models and what-if analyses to simulate different operating conditions. Get clearer understanding of the most important production parameters with root cause analysis of production defects.

Set up your what-if analyses

Understand Production Anomalies

Generate triggers and send alerts

Set fully customizable triggers to track production processes in near real time. Use them to create and send alerts to operators on internal communication platforms like Microsoft Teams and Slack.

Discover dataiku features in this project

Generate Triggers and Send Alerts

Quickly correct production issues

Give operators the chance to act early in the process by detecting changes in production, then leverage Dataiku streaming functionality to raise alerts on current operations. Shift from anticipated production quality detection and move from reactive to real time.

Focus on drifts and alerting

Quickly Correct Production Issues

Answer key quality control questions

The Dataiku Solution for Production Quality Control helps answer a broad range of questions like: How do I track production quality changes over time? How can I make sure I am using all available production data? How can I better understand production defects and what adjustments need to be made? How can I improve collaboration between analysts, production engineers, and operators? How can I build in better lead time when quality issues are detected?

Read the documentation on production quality control

Answer Key Quality Control Questions

Get quality control on track

Improve the tracking of key manufacturing processes, and move towards embedding AI to adjust in near real time. Ensure high quality manufacturing through process improvement and engineering with Dataiku.

Discover the full capabilities of dataiku

Get Quality Control on Track

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