Chapter 19 Flashcards
A collection of strategies, techniques, and actions taken by an organization to ensure it is producing a quality product of providing quality service.
Statistical Process Control (SPC)
Program named after 3 points +/- the standard deviation that aims to reduce cost of defects and errors and improve process and customer satisfaction
Six Sigma
What steps does six sigma take to achieve it’s goal
- Identify and define problem
- Collect and analyze data
- make a process improvements
- Implement procedure
Variation that is random in nature. Cannot be completely eliminated
Chance variation
Variation that is not random, can be eliminated or reduced
assignable variation
Two reasons we should be concerned with variation
- It will change the shape, dispersion, and central location of teh distribution of the product characteristic being measured
- Assignable variation is usually correctable.
Techniques associated with Six Sigma
- Histograms
- ANOVA
- Chi-squared
- regression
- correlation
A Diagnostic technique for tallying the number and type of defects that happen within a product or service.
Pareto analysis
What are the steps to develope a pareto chart
- Tally the defects
- Rank defects in terms of frequency
- produce a bar chart corresponding to frequency
A cause and effect chart that illustrates the relationship between an effect and possible causes
Fishbone diagram
Charts that show when assignable variation or changes have entered the process.
Control Charts
A control chart that portrays measurements
Variable control chart
A control chart that marks a product or service acceptable or unacceptable
An attribute control chart
What is the minimum number of samples for a control chart
25
A chart that shows and monitors the variation in sample ranges
Range chart
When the mean chart and range chart are clustered near the center line withing the UCL and LCL it is said to be
in control
The appropriate control chart if the item recorded is the proportion of unacceptable parts made in larger batch of parts
p-chart
a chart that plots the number of defects of failures per unit and is based on the poisson
c-bar
A sampling plan where a sample of n units is randomly selected from the lots of N units
Acceptance testing
Four possibilities of acceptance testing
- Good lot
- bad lot
- consumer’s risk
- Producers risk
When a lot contains more defective units then it should but is accepted
consumers risk
When a lot contains an acceptable amount of defects but is rejected
Producers risk
Reports the percent defective along teh horizontal axis and the probability of accepting that percent defective
operating characteristic curve or OC curve