As usual with Quality Digest’s diverse audience, this year’s top stories covered a wide range of topics applicable to quality professionals. From hardware to software, from standards to risk management, from China trade to FDA regulations.

In the past two months we have looked at how three-sigma limits work with skewed data.

In a general sense, capability is the ability to do something. Within manufacturing, capability is given a much more specific definition. It is an expression of the accuracy of a process or equipment, in proportion to the required accuracy.

Whatever the process or type of data collected, all data display variation. This is also true in software development.

In everyday language, “in control” and “under control” are synonymous with “in specification.” Requirements have been met. Things are OK. No trouble.

‘Why are our changeovers taking so long?”

During the early 1980s, GM, Ford, and Chrysler established the Automotive Industry Action Group (AIAG), a not-for-profit organization with the mission “To improve its members’ competitiveness through a cooperative effort of North American vehicle manufacturers and th

Current business conversation often focuses on data and big data. Data are the raw information from which statistics are created and provide an interpretation and summary of data.

According to a report by PwC, industrial sectors worldwide plan to invest $900 billion in Industry 4.0 each year. Despite these growing technology investments, only a few technologies are significantly mature to drive measurable quality impacts.

Artificial intelligence (AI) is widely acknowledged as a crucial aspect of what is broadly referred to as Industry 4.0.