Golden Run™

Predictive Performance

Operationalize your most profitable production parameters by relying on predictive performance analytics to increase throughput without sacrificing quality.
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Oden combines predictive performance analytics with your production management experience to determine the most profitable way to make a product.


live historical production data to determine your most efficient runs.


process settings that allow operators to replicate your most profitable runs.


alerts when production conditions are trending or operating outside of optimal settings.

The Benefits of Predictive Performance Managment

Increase First Pass Yield

Increase first pass yield with recommended process parameters that maximize throughput without compromising quality.

Improve Labor Effectiveness

Give teams the dashboards and tools they need to monitor, analyze, and optimize production.

Reduce Material Waste

Minimize variability in production processes to promote material usage efficiency.

Maximize Profitability

Eliminate waste and other inefficiencies to increase overall contribution margins.

How Predictive Performance Analytics Works

Digital Thread of Production Lines

Machine learning algorithms leverage centralized factory data to create a digital thread of your production processes. Data is cleaned and contextualized into a consistent format, organized into a taxonomy, and aligned with metadata such as the product, shift or quality state. The digital thread translates your manufacturing expertise into an actionable representation of your production line to serve as a roadmap for your predictive performance solution.

Predictive Performance Modeling

Machine learning algorithms analyze live and historical production data to identify the key process parameters that contributed to your most profitable runs. Performance converts years of best practices from seasoned veterans into process recommendations that every operator can replicate. By following these settings,  manufacturers can eliminate inefficiencies in production, improve line speed without sacrificing quality and ultimately maximize contribution margins.

Predictive Alerts and Alarms

Engineers or shift supervisors are alerted when operations are trending outside of the recommended settings using machine learning based predictive models. This allows your teams to take corrective action quickly to avoid excessive scrap, defective product or other more extensive problems. Alerts can be customized based on factory floor conditions or a chain of command to continually improve OEE and manufacturing performance.

Continuous Loop of Production Optimization

Over time people, processes, and data change, so models must be retrained and adapted as needed. Rebuilding models based on new datasets ensures that predictions and recommendations are always accurate. A cloud-edge hybrid solution with rapid iteration reduces the amount of time it takes to build, validate and deploy new models and enables you to get the most value out of your predictive performance analytics.


You need to collect data from multiple sources and monitor endless process variables to ensure production is running to standard and eliminate variation.

Detect and eliminate every bottleneck as soon as possible and make production nearly perfect. Gain 100% control of your process and eliminate any variation.

Plant Manager

You are responsible for running the plant at optimal efficiency, deploying resources, and constantly putting out fires, without accurate process data.

Uncover and improve every inefficiency in your plant. Have confidence in knowing the exact status of production. Proactively see where and why issues arise.


You need to know how production is constrained and pinpoint where the plant can increase output, reduce costs, and gain a competitive edge.

Always hit output and cost reduction goals. With real-time monitoring, you will see every problem, defect, and win within your factory. Gain confidence in knowing its true OEE.


Must provide accurate answers quickly to minimize qualified failures and ensure defects don’t reach customers.

Stop reacting to issues and instead proactively perfect product quality. Quickly find answers to why defects happened and how to prevent them in the future.