Best of iSixSigma: 2013

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The best of iSixSigma 2013 features the highlights of this year’s content – as determined by our readers. Most Popular Five Simple Steps to Project Certification Success For many organizations, Lean Six Sigma certification requires a Green Belt or Black Belt to present and defend their project to a panel of experts. Whether you are […]

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Resource Page: A Primer on Non-normal Data

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The distribution of data can be categorized in two ways: normal and non-normal. If data is normally distributed, it can be expected to follow a certain pattern in which the data tend to be around a central value with no bias left or right (Figure 1). Non-normal data, on the other hand, does not tend […]

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High-performance Teams: Understanding Team Cohesiveness

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“There is a desire in each of us to invest in things that matter, and to have the organizations in which we work be successful…Our task is to create organizations we believe in…to be part of creating something we care about so we can endure the sacrifice, risk, and adventure that commitment entails. That’s team […]

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Reduce Special-cause Variation Before Experimentation

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For several years, a fully-automated plastic drinking cup production line used excessive amounts of raw materials (plastic PET pellets) due to a wide distribution in the weight of the formed cups. When process operators and engineers had tried to reduce the plastic pellet usage by reducing the average formed cup weight, many cups – because […]

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Extra Rewards for Article Submissions in December

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With the holiday season upon us, iSixSigma is showing appreciation to our authors by offering extra rewards for submissions in December. There are many reasons why you should be submitting articles to be published on iSixSigma.com: You receive the notoriety of being published on the premier worldwide Lean Six Sigma website You share their professional […]

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Go Beyond Control Chart Limitations to Predict and Improve Processes

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Article authors, participants in discussion forums and even software documentation claim that  any data and especially time-sequenced data are useful only if they are homogeneous – that is, only if they display control chart stability (CCS).1,2,3,4 According to one quality control expert, Donald J. Wheeler, when out-of-control signals occur, “all of our computations, and all of […]

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