rev. 02/24/06sjsu bus. 142 - david bentley1 chapter 11 – statistical thinking and applications...
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Rev. 02/24/06 SJSU Bus. 142 - David Bentley 1
Chapter 11 – Statistical Thinking and ApplicationsChapter 11 – Statistical Thinking and Applications
“Red bead experiment”, random vs. non-random variation,
probability distribution, sampling, statistical methodology
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Statistical Thinking All work occurs in a system of interconnected
processes Variation exists in all processes Understanding and reducing
variation are the keys to success “Variation is the enemy of quality”
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Sources of Variation in Production Processes
Materials
Tools
Operators Methods Measurement Instruments
HumanInspectionPerformance
EnvironmentMachines
INPUTS PROCESS OUTPUTS
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Variation Many sources of uncontrollable variation
exist (common = chance = random causes)
Special (assignable = special = non-random) causes of variation can be recognized and are controllable
Failure to understand these differences can increase variation in a system
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Importance of Understanding Variation
time
PREDICTABLE
?UNPREDECTIBLE
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Two Fundamental Management Mistakes
1. Treating as a special cause any fault, complaint, mistake, breakdown, accident or shortage when it actually is due to common causes (Type I error or Producer’s Risk)
2. Attributing to common causes any fault, complaint, mistake, breakdown, accident or shortage when it actually is due to a special cause (Type II error or Consumer’s Risk)
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Note to Instructors “The following slides can be used to
guide a class demonstration and discussion of the Deming Red Bead experiment using small bags of M&M’s® Chocolate Candies, from a suggestion I found on a TQ newsgroup several years ago. The good output (“white beads”) are the blue M&Ms, with the instructor playing the role of Dr. Deming.” - James R. Evans
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
We’re Going into Business!!! We have a new global customer and have to start up several factories. The customer wants only blue M&M’s®. So I need 4 teams of 8 people to do the work:
5 production workers2 inspectors1 Chief Inspector / recorder
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Production Process
1. Each production worker reaches into the bag and take one piece at a time out of the bag.2. Production worker produces 10 pieces
and places them on the napkin.3. Each inspector, independently, counts the blue ones produced by each worker, and passes the results (name and number of blue pieces) to the Chief Inspector to verify.4. If Chief Inspector agrees, s/he records the results by individual and reports the results to me.
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Second pass Reward best performer Penalize worst performer Remind everyone that customer only
wants blue M&M’s® Exhort workers to do better Repeat process
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Third pass Again reward best performer Again penalize worst performer Remind everyone that customer only
wants blue M&M’s® Warn workers their jobs are in
jeopardy Declare Zero Defects Day Repeat process
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Fourth pass Fire worst performers Put up banners, posters, slogans
(see next slide) Remind everyone that customer
only wants blue M&M’s® Warn that plant closure is possible Repeat process
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Bad News! Results are not good enough Customers are not satisfied Plant must be closed!
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Lessons Learned Quality is made at the top. Rigid procedures are not enough. People are not always the main source
of variability. Numerical goals are often meaningless. Inspection is expensive and does not
improve quality. Slogans, posters, banners are not the
answer
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Statistical Methods Descriptive statistics Statistical inference Predictive statistics
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Review of Key Concepts Random variables Probability distributions Populations and samples Point estimates Sampling distributions Standard error of the mean
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Important Probability Distributions
Discrete Binomial Poisson
Continuous Normal Exponential
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Central Limit Theorem
If simple random samples of size n are taken from any population, the probability distribution of sample means will be approximately normal as n becomes large.
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Sampling Methods Simple random sampling Stratified sampling Systematic sampling Cluster sampling Judgment sampling
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Sampling Error Sampling error (statistical error) Nonsampling error (systematic error) Factors to consider:
Sample size Appropriate sample design
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Design of Experiments A test or series of tests to compare
two or more methods to determine which is better, or to determine levels of controllable factors to optimize the yield of a process or minimize the variability of a response variable.
Factorial experiment Analysis of all combinations of factor
levels to understand main effects and interactions
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Descriptive Statistics Tool - Microsoft Excel Tools…Data Analysis… Descriptive
Statistics
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Descriptive Statistics Results
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THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson LearningTM
Excel Histogram Tool Tools…Data Analysis…Histogram