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Intelligent, actionable data is the heart of process and quality improvement. And access to production data is critical for solving manufacturers’ biggest problems. Digitizing process and quality data is essential for improving quality, customer satisfaction—and your bottom line.
Competing on product quality has never been more urgent as rising raw material and component costs continue to squeeze manufacturers’ margins. At the same time, unpredictable supply chains make it increasingly difficult to maintain consistent product quality and cost visibility.
Timed data collections are the cornerstone of product quality compliance. Learn how a simple tool can help you know that data collections are happening on time, every time.
When Donald Engineering sales manager Jim Kortman describes his aluminum extruder client of 28 years, he reaches for a deceptively simple analogy: the Play-Doh Fun Factory.
Before we dive into the quality issues that arise from manual data entry, let’s review the ways in which data is handled in industrial calibration processes.
Quality managers looking to find real insights from pages upon pages of raw quality data might not be successful. But managers with Statistical Process Control (SPC) software will have a leg up.
The Internet of Things (IoT) is the new standard in manufacturing today, deeply affecting the way manufacturers operate. Improving Overall Equipment Effectiveness (OEE) is crucial to IoT. Optimizing OEE requires accurate, up-to-date data across an entire organization, including measurement and test information from both quality labs and the shop floor.