A modern, SPC-driven quality management software solution can help you capitalize on advances in automation, IIoT, and cloud computing.

When a large food products manufacturer ran an onsite assessment to evaluate potential savings, the results provided insights to help them reduce variance, waste, and raw material costs.

Modern SPC is about more than shop floor data collection and control charts. Today, SPC is about improving quality, reducing costs, and enhancing a company’s competitive position.

Walter A. Shewart, often referred to as the “father” of statistical process control, introduced the world to SPC and his creation of the control chart in the late 1920s. Of course, SPC has appreciably evolved since then, with real-time data analytics and Cloud-based software becoming an integral part of the package.

Manual data collection and analysis places a tremendous burden on manufacturing resources and limits their ability to adapt and innovate. Fortunately, modern data management solutions offer a path to greater automation and efficiency.

Change is scary, but failing to keep up with the times could be even more detrimental. With so many competitors vying for the same market share, the smallest advantage could make a big difference.

Digital transformation is creating smart factories that collect data from across the supply chain. This data reveals intelligence that drives quality improvement, process optimization, cost reduction, and regulatory compliance on the factory floor.

It has been just over 100 years since Henry Ford introduced the modern assembly line and forever changed the course of manufacturing—and it hasn't finished evolving.

Today’s cloud-based SPC software can help manufacturers find the perspective and data to realize transformative savings and efficiency gains.

For nearly 85 years, quality professionals have used SPC to monitor, control, and improve their manufacturing processes. Using statistical tools to detect variability before a sub-standard part can be produced—and thus, reduce scrap, downtime, and rework costs—began in the mid-1920s with handwritten control charts.