Process Variation and Quality Control!
by michael hughes Sugar! Color! Process variation and quality control! Brock University students take a bite out of candy in bid for statistical learning You want the candy? more about the assignment, comparing notes more than in You can have the candy by taking Michael Armstrong’s other years. undergraduate quality management course at Brock Univer- “Anecdotally, they do seem more interested,” Armstrong sity in St. Catharines, Ontario, Canada. said. Rather than making up numbers, Armstrong picked six The class grouped 36 packages of each candy into subsets of popular North American candies and had his class gather data six packs per production date. Armstrong chose Mike & Ike, needed for process and quality improvement. As opposed to M&Ms, Skittles, Gobstoppers, Reese’s Pieces and Smarties. jet turbines, candy was relatively simple. Getting hard numbers on taste, certainly a customer’s No. 1 “While they’re using one side of the brain to do their heavy candy concern, would be difficult. So Armstrong had students duty statistical analysis, the other side of their brain is, hope- analyze weight and color distribution. fully, having some fun thinking about sugar, color, candy,” Weight lets consumers know whether they’re getting their said Armstrong, associate professor in the Department of money’s worth — or, in some cases, more. Color sometimes, Finance, Operations and Information Systems. but not always, corresponds to a candy’s taste. The students analyzed variance and regression, using the tools taught in class. Does the number of yellow candies Weighty subjects and tasty colors vary daily? Is there a linear trend of increasing or decreasing Armstrong picked weight to see if companies were meeting green candies per package? their legal requirement to match their contents with the box “I’ve got the assignment set up so that they’re using label.
[Show full text]