Often, new technologies are designed to not allow communications with third-party quality systems. Here’s how to get the information you need from the systems you’ve invested in.

Applying Statistical Process Control (SPC) methodologies to the right data will help you proactively control processes and prevent manufacturing quality problems before they occur.

Looking into new software for statistical process control (SPC) can be challenging and often confusing at the outset. This is because many providers claim to have similar features like real-time data collection and easy installation, though results may vary.

Do you collect quality data to catch problems on the production floor—but then never look at that data again? If so, you could be missing an opportunity to reap big rewards from your quality-improvement efforts.

To earn the return on investment that a modern, cloud-based SPC software service can provide, organizations need to rethink some outdated ideas about quality.

When tackling quality issues on the shop floor and across the enterprise, when we don’t have a definite answer, we tend to fill in the gaps with opinion. What we really need is unbiased information.

A large beverage manufacturing organization discovered that taking their quality data analysis one step further resulted in an $800,000 ROI.

Manufacturers are adopting Software as a Service solutions not just because they are easier, more cost-effective, and efficient for users but also because they give organizations a strategic advantage.

Quite often in manufacturing, an inspection department is treated primarily as a necessary overhead expense required to assure compliance to customer specifications. Sometimes an inspection department may also be treated as a profit center for compliance to a variety of test protocols dictated by external agencies, or perhaps internal procedures to demonstrate traceability to certain quality standards.