OPTIMIZING MANUFACTURING QUALITY AND YIELD WITH SAS® ANALYTICS
March 05, 2019 | (2 p.m.)
USA (United States of America)
Scrap and rework alone can cost manufacturers up to 6 percent of sales revenue each year. To minimize this, manufacturers have adopted Six Sigma techniques to control variance in production. Even so, there are many ways unwanted variation can enter a production process. Organizations collect data points at each step of the manufacturing process, including process data, sensor/IoT data, raw material data and qualitative results data. This often results in hundreds or thousands of different variables that can be analyzed and monitored. With these manufacturing processes generating so much data across different machines, sensors and plants, manufacturers often struggle with translating it into actionable information. This is where SAS can help.