on Tools & Techniques

Another of the most commonly asked questions about quality engineering is “What is Six Sigma and how is it used in quality engineering?”

Six Sigma is a data-driven approach to continuous improvement that aims to reduce defects and variability in products, processes, and systems. It is based on the idea that by identifying and addressing the root causes of defects and variability, organizations can significantly improve the quality of their products and processes. Six Sigma is used to identify and eliminate defects and variability by collecting and analyzing data, identifying patterns and trends, and implementing process improvements.

a.k.a. “the dark side”

Reliability engineering and quality engineering are closely related disciplines that both focus on ensuring that products, processes, and systems are efficient, effective, and meet the required standards. As such, there are several ways in which reliability engineers can improve their skills by learning about quality engineering.

For the seasoned manufacturing quality professional, First Article Inspection (FAI) is a familiar process performed after the first production run of a new or redesigned part. But for those outside of or newer to the quality profession, the requirements of FAI may provoke a lot of questions and uncertainty.

In short, FAI is the process of planning, conducting and reporting the verification of a production process. This verification “closes the loop” between the customer’s expectations — usually described on the part’s engineering drawing — and the actual output of the supplier’s process.

In a season 2 episode of AMC’s acclaimed TV show “Better Call Saul”, its lead character Jimmy McGill asks his assistant Omar to “take a letter” as he dictates a handful of disjointed phrases to tender his resignation from his lucrative position at the Davis & Main law firm¹. During a pause between Jimmy’s thoughts, Omar blankly states, “I just didn’t realize how unhappy you were here.” Jimmy’s response, while puzzling and a bit comical, describes a concept key to understanding the nature of job satisfaction. He replies to Omar, “Not unhappy, per se. More like not happy.”

As a teenager in the 1980s, I was an avid reader of Omni, a now defunct magazine dedicated to the future—a far-off world filled with super humans, artificial biospheres and frequent encounters with extraterrestrial beings. Omni catered to armchair futurists like me with science and science fiction stories by A-level writers like Bernard Dixon and William Burroughs.

Future-oriented mass media such as Omni and “Star Wars” gives its consumers a plausible vision of everyday life for future generations. What these sources don’t typically deliver, though, is the path of change to get there. 

Everyone working in a decision-making role has at least an intuitive understanding of the concept of opportunity costs-the value of the thing you didn’t choose. Simply stated, when you say ‘Yes’ to one thing, you simultaneously say ‘No’ to everything else you could have chosen instead. And those things to which you say ‘No’ have a value that you’re relinquishing. When I was a teenager, I heard an older gentleman quip, “When I said ‘I do’ to my wife, I was also saying ‘I don’t’ to all the other girls out there”. That man understood opportunity cost.