Altair
Case Studies
Ford Enhances Manufacturing Efficiency with Altair Knowledge Studio
Overview
Ford Enhances Manufacturing Efficiency with Altair Knowledge StudioAltair |
Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics | |
Automotive Education | |
Human Resources Product Research & Development | |
Predictive Maintenance Time Sensitive Networking | |
Data Science Services Training | |
Operational Impact
The machine learning predictive power of Knowledge Studio proved to be highly accurate and successful in largely automating stamping process selection. By minimizing manual trial-and-error process validations and rework, more time was available for stamping process engineers to address the most difficult and complex part designs further enhancing production efficiency and business value. Overall the projected throughput increased by a factor of three and, increased FTT rates resulting in reduced rework time – all accomplished without increasing resources. In addition, the Knowledge Studio machine learning model was effective in capturing Ford’s in-house domain knowledge to support a faster learning-curve for training of new personnel. | |
Quantitative Benefit
90% accuracy of automated stamping process selection | |
Increased First Time Through (FTT) rates | |
Reduced rework time | |