Six Sigma

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Edward de Bono – Six Thinking Hats

Got a hard problem to solve? How do you get everyone’s point of view while covering all aspects of the problem? The Six Thinking Hats may help you. Six Thinking Hats is a system designed by Edward de Bono, the world’s leading authority on thinking.  Edward de Bono’s Six Thinking Hats divides thinking into six [...]

Decisions! Decisions! Decisions!

Do you need to make a decision? Are there multiple criteria? Are some of the criteria quantitative while others are qualitative? Are there a group of decision makers involved, some with differing opinions? What you need is Multiple Criteria Decision-Making (MCDM) or otherwise known as Multiple Objective Decision-Making. Much research has been done regarding this [...]

Is Your Continuous Improvement Program Too Complex?

What are the elements of your continuous improvement program? How are they integrated? Or are they expected to be done separately without much guidance on what to do, leaving a complex approach with endless meetings? As a result, is your organization too focused on the problem-solving process rather than being more focused on obtaining solutions? [...]

Simplified Value Stream Mapping

Value stream mapping doesn’t have to be difficult with complicated symbols or the use of special software. A value stream map can simply be an extension of your process map with enough information added to determine value and waste, and that includes activity cycle times and wait time before an activity starts. In this video, [...]

Confidence Interval Approximations

What are some of the standard approximations for confidence intervals, and when are they used? First, let’s review the definition of a confidence interval. Confidence Interval: A range of values so defined that there is a specified probability that the value of a parameter lies within it. Example for the most common parameter: the mean. [...]

The Power of a Statistical Test

What is the power of a statistical test and why use it? Power is the probability of making a correct decision (to reject the null hypothesis) when the null hypothesis is false. To determine it, one needs to assume a particular alternative hypothesis. Because power focuses on “making a correct decision” it is natural to [...]

2019-06-16T07:22:02+00:00 By |Tags: , , |0 Comments

Integrating Simulation with DMAIC

First, let’s review the objectives of each DMAIC step. D: Define (Establish project purpose and scope, background on process and customer) M: Measure (Quantify existing process performance) A: Analyze (Determine ways to eliminate or reduce the gap between current performance and project goals) I: Improve (Evaluate, select, and implement chosen solution) C: Control (Institutionalize the [...]

Simpson’s Paradox: Be Wary of Aggregate Data

Simpson's paradox occurs when a trend appears in several different groups of data but disappears or reverses when the data from these groups are combined. In this video, Guillaume Riesen, currently a Ph.D. student in neuroscience at Stanford University, gives examples of how combining data from two disparate groups can lead to a different and [...]

Quantifying Agreement Among Assessors

How well do your inspectors agree with one another? How well do they agree with a standard? What about people who review documents? How would several reviewers rate the same document? Do they agree with one another? These are just several of the situations where Attribute Agreement would answer these questions. In this simple video, [...]