In many production settings, machine operators are tasked with monitoring processes by taking samples and making adjustments as needed to maintain productivity. However, there's a question worth exploring: What if ignoring these data-driven adjustments and allowing the process to continue unchanged is a better strategy?
Reliability analysis helps manufacturers predict and prevent product failures, improving overall quality and performance through systematic assessment and data-driven improvements.
Reliable products earn customer trust and save manufacturers money. Reliability analysis helps businesses get there. What Exactly is Reliability Analysis?
Six Sigma relies on statistics at its core. But using Six Sigma throughout an organization is not always straightforward.
December 9, 2022
Statistical quality software undoubtedly helps manufacturers boost productivity, improve decision-making, and become more engaged with their data. But to fully realize the benefits, they must embrace staff training.
Control charts should be implemented carefully. Here are best practices to keep in mind.
July 13, 2022
The Xbar/R Control Chart is a method of Statistical Process Control (SPC) manufacturers can use to reduce fill weight variation, maintain centerlines and avoid rework. Here are best practices to keep in mind:
Accidents and injuries, instances of nonconformance with a policy or standards—really, failures of any kind—can all contribute to a need for an organization to change.
Our modern history is defined by the advent of writing. Writing is humankind’s principal technology for collecting, manipulating, storing, retrieving, communicating and disseminating information.
Combining benchtop mechanical testing of smaller brake material samples with rapid 3D surface metrology makes it possible to analyze results more quickly than ever before.
Researching how different materials influence brake pad performance and durability involves a vast amount of back-and-forth testing and metrology analysis.