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Solve manufacturing problems you could never solve before...

What makes PROCEED Unique?

The Actionable Decision EnvironmentTM

STATISTICA Output In the end, actions are a human endeavor. People will not act simply because software tells them to do so. They must be able to interpret a model's results and assimilate the model's knowledge. A critical breakthrough in PROCEED is the introduction of the Actionable Decision EnvironmentTM.

The Actionable Decision EnvironmentTM provides a set of graphical tools to allow users to interact with the models. PROCEED provides an efficient mechanism for users to manipulate what if scenarios and see the predicted outcomes in an easy-to-understand graphical display.

The Actionable Decision EnvironmentTM is the mechanism for deploying knowledge into action. Process owners and decision-makers can manipulate process settings to observe the impact on outcomes. For example, setting a particular process parameter at its theoretical optimum may require a costly upgrade to the production process not justified by the benefits of the change or may be beyond the capabilities of the supplier of the materials. PROCEED provides that flexibility for process owners to interact with the model to inject their subject matter expertise to derive the "real" optimal settings.

Patent-Pending Method Developed and Proven at Caterpillar Inc.

PROCEED implements a patent-pending "recipe" for the application of novel and traditional knowledge discovery algorithms in a turnkey manufacturing software solution. The approach has been applied and proven to achieve results across a variety of manufacturing applications for optimizing manufacturing processes and product quality.

The patent-pending "recipe" includes:

  • Intelligent Variable Selection from the list of Available Candidate Predictors. PROCEED succeeds in identifying the most important variables even in highly-dimensional scenarios where there are more variables than observations

  • Stochastic Simulation of Probably Outcomes. PROCEED validates models through the simulation of manufacturing scenarios to compare against expected outcomes

  • Optimization of Competing Outcomes. PROCEED balances competitive goals from common processes. For example, maximizing power while reducing fuel consumption in engine manufacturing.


Capitalize on the Data that You Already Collect and Manage

High Tech Manufacturing Enterprises have spent the last several years investing in measurement and data storage systems. PROCEED is unique in building on that framework to deliver actionable information from the data your existing data investment.

Recipe and model building process implemented as workflow

Increasing value from analytics is a direct relation of the ability to get people to understand and buy into their outcomes. PROCEED makes the predictive modeling process easier by implementing the steps in the recipe as a step-by-step workflow process.

PROCEED Monitors its Own Performance

PROCEED includes an integrated sentinel to ensure continuous predictive accuracy.

Integrated Document Management and Audit Trails

PROCEED includes an integrated document management system and audit trails essential to your ISO9000 and other Quality Management Systems strategies.

Optimal solution is robust to variation

PROCEED allows for the simultaneous, competitive optimization of multiple outcomes along a set of process parameters. PROCEED derives the optimum settings for each parameter that allows the most variation, providing you with the most flexibility in implementing those settings in your manufacturing processes.



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