Solved by verified expert:In 1995 Jack Welch sent a memo to his senior managers telling them that they would have to require every employee to have started Six Sigma training to be promoted. Furthermore, 40 percent of the manager’s bonuses were to be tied to the successful introduction of Six Sigma. Do you believe that this directive was a motivational action, or did it violate W. Edwards Deming’s maxim that managers and leaders must “cast out fear”? Why or why not? Refer to this week’s lecture before crafting your post. Word count – 400
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Week Four Lecture
Statistical Thinking and Application
Chapter 10 describes concepts of statistics, statistical thinking, statistical methodology,
sampling, experimental design, and process capability.
Watch the following video for a few of the major reasons to study statistics: Statistics in
Schools – Why Statistics? (Links to an external site.)Links to an external site.
The following video is an example of some of the ways statistics are used within the U.S.
Census Bureau: World Statistics Day: Statistics All Around Us (Links to an external
site.)Links to an external site.
Statistical Methods
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Descriptive statistics
Statistical inference
Predictive statistics
One of the biggest mistakes that people make in using statistical methods is confusing
data sampled from a static population (cross-sectional data) with data sampled from a
dynamic process (time series data).
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Enumerative study – analysis of a static population
Analytic study – analysis of a dynamic time series
Analysis of Variance (ANOVA)
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ANOVA is a methodology for drawing conclusions about equality of means of
multiple populations.
ANOVA tests the hypothesis that the means of all populations are equal against the
alternative hypothesis that at least one mean differs from the others.
Regression and Correlation
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Regression analysis is a tool for building statistical models that characterize
relationships between a dependent variable and one or more independent variables,
all of which are numerical.
Correlation is a measure of a linear relationship between two variables, X and Y, and
is measured by the (population) correlation coefficient.
Six Sigma and Process Improvement
Chapter 11 brings the Six Sigma concept into sharp focus, and builds on the need to
integrate a performance management framework with operational requirements in
managing quality. In this chapter, we introduce the statistical basis for Six Sigma, and
outline the requirements for Six Sigma implementation. This chapter also extends the
concepts of Chapter 10 on statistical thinking and introduces the 7 QC Tools used for
kaizen — continuous improvement — Six Sigma and “lean” projects.
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Juran defined breakthrough as the accomplishment of any improvement that takes
an organization to unprecedented levels of performance.
The objectives of Six Sigma often focus on breakthrough improvements that add
value to the organization and its customers through systematic approaches to
problem solving.
“Six sigma” represents a quality level of at most 3.4 defects per million opportunities
(dpmo). (In other words….99.99966% accuracy). Sigma (σ) is the Greek letter that is
used to designate standard deviation.
A six sigma quality level corresponds to a process variation equal to half of the design
tolerance while allowing the mean to shift as much as 1.5 standard deviations from the
target.
DMAIC Methodology
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5.
Define
Measure
Analyze
Improve
Control
The “Seven QC Tools”
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Flowcharts
Check sheets
Histograms
Cause-and-effect diagrams
Pareto diagrams
Scatter diagrams
Control charts
8. Run charts show the performance and the variation of a process or some quality or
productivity indicator over time in a graphical fashion that is easy to understand and
interpret. They also identify process changes and trends over time and show the
effects of corrective actions.
Control Chart
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Focuses attention on detecting and monitoring process variation over time
Distinguishes special from common causes of variation
Serves as a tool for on-going control
Provides a common language for discussion process performance
A Pareto distribution is one in which the characteristics observed are ordered from
largest frequency to smallest. A Pareto diagram is a histogram of the data from the
largest frequency to the smallest.
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