Overview

Business Intelligence Limitations

Current Business Intelligence (BI) applications provide significant value to corporations, helping them analyze sales, labor and financial trends. BI applications do not, however, provide a means to collect and analyze material or process variables. Current ERP, BI or document management applications do not have the ability to perform the task of connecting production variations with their results. The current sub-standard way of doing business causes many of the production issues seen in today’s market place.

Businesses continue to sacrifice profits caused by lower yields and productivity as a direct result of factory disruptions caused by unpredictable production variables. This results in wasted production labor waiting on materials that meet standards or becoming reactionary to compensate for poor material consistency. These variables include incoming raw material fluctuations, inconsistent equipment performance and changing environmental conditions. The ability to easily collect and analyze these variables globally is necessary to improve processes, saving millions by increasing yield and using resources to their fullest potential.

GSQA – Supplier Focused Business Intelligence

GSQA fills the void left by most business intelligence 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 enables manufacturers to proactively prevent disruptions, resulting in improved yield by reducing waste. Other GSQA benefits include, but are not limited to the following:

The diagram below shows how GSQA ties cause to effect, eliminating disruptions.

GSQA Product Flow