Current Business Intelligence (BI) applications provide significant value to corporations, helping them analyze sales, labor and financial trends. This generation of BI applications does not however, provide a means to collect and analyze material or process variables. Current software does not have the ability to perform the task of connecting production variations with their results. As such, the current sub-standard way of doing business is causing the production issues seen in today market place.
Businesses are seeing lower yields and productivity as a direct result of factory disruptions caused by unpredictable production variables. The result of this negative production is wasted man hours waiting on materials that meet standards or becoming reactionary to compensate for errors made. These variables include incoming raw material fluctuations, inconsistent equipment performance and changing environmental conditions. The ability to globally collect and analyze these variables is necessary to increase yield, save millions and use man power to it fullest potential.
GSQA fills the void left by current generation BI applications. GSQA collects, stores and analyzes material parameters and production settings to improve manufacturing yield. GSQA's knowledgebase of raw material characteristics and process variables allows manufacturers to correlate input cause to output effect. This correlation allows manufacturers to proactively prevent disruptions, resulting in improved yield by reducing waste. Other benefits of using GSQA include, but are not limited to:
The diagram below shows how GSQA ties cause to effect, eliminating disruptions
