Intuitive Statistical Quality Control (SQC) Software for Manufacturing

To meet the diverse needs of manufacturing quality control, our SQC software includes different methodologies to monitor and maintain the quality of products. One method of SQC is acceptance sampling, which can be used to randomly inspect a sample of goods. A decision is made to accept or reject a batch of goods based on the results of the sample.

Another method of SQC is statistical process control (SPC), which uses graphical charts or visuals to determine whether a process should be continued or adjusted to achieve desired quality. SPC control charts are foundational quality control tools and figure prominently in Lean manufacturing and Six Sigma efforts. Control charts are used in a variety of ways, but on the shop floor, operators use them as a means of assessing, controlling, and ensuring the consistency of manufacturing processes. By controlling processes, operators can minimize significant process changes that can result in off-quality products. Our highly configurable control charts will ensure that you have the best control chart for detecting the right type of variation, resulting in reduced defects and greater process consistency.

Data collected over time can be rolled up and accessed through a centralized unified data repository, enabling quality professionals and facility supervisors to meet some of the most important objectives of statistical quality control: supporting continuous improvement over time and revealing opportunities for cost savings, reduced waste, improved workflow, and greater efficiencies. At the top level, Six Sigma professionals and executives can use historical SPC data for predictive analytics, comparing quality control data across lines, products, processes, and sites to determine where performance is highest–and where improvements can yield dramatic improvements in profitability.