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Questions and Answers
What is the main application of normal distribution in manufacturing?
What is the main application of normal distribution in manufacturing?
What is the mean lifetime of car tires in the given example?
What is the mean lifetime of car tires in the given example?
What is the standard deviation of the car tires' lifetime in the example?
What is the standard deviation of the car tires' lifetime in the example?
What is the logarithm of x in a lognormal distribution?
What is the logarithm of x in a lognormal distribution?
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What is the typical application of lognormal distribution?
What is the typical application of lognormal distribution?
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What causes 'stackup' in manufacturing?
What causes 'stackup' in manufacturing?
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What is the main reason for process variations in manufacturing?
What is the main reason for process variations in manufacturing?
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What type of variation can be isolated and possibly predicted or removed?
What type of variation can be isolated and possibly predicted or removed?
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What is the purpose of understanding variation in manufacturing?
What is the purpose of understanding variation in manufacturing?
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What is the main advantage of using normal distribution in quality control?
What is the main advantage of using normal distribution in quality control?
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What is the definition of quality?
What is the definition of quality?
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What is the term for the allowable or permissible limit of variation of a process?
What is the term for the allowable or permissible limit of variation of a process?
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What is the goal of measuring variation in a process?
What is the goal of measuring variation in a process?
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What is the normal distribution used for in understanding variation?
What is the normal distribution used for in understanding variation?
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What is the term for the natural outcome of a process?
What is the term for the natural outcome of a process?
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What is the purpose of monitoring variation?
What is the purpose of monitoring variation?
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What is the term for the probability distribution of the occurrence of a data?
What is the term for the probability distribution of the occurrence of a data?
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What is the result of 6 standard deviations from the mean?
What is the result of 6 standard deviations from the mean?
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What is the customer's role in understanding variation?
What is the customer's role in understanding variation?
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What is the importance of understanding variation in manufacturing?
What is the importance of understanding variation in manufacturing?
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What is the primary cause of random variation in a process?
What is the primary cause of random variation in a process?
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What is the relationship between molecular weight of polymer and accuracy in injection molding?
What is the relationship between molecular weight of polymer and accuracy in injection molding?
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What is the definition of accuracy in measurement?
What is the definition of accuracy in measurement?
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What is the relationship between depth of cut and surface roughness in machining?
What is the relationship between depth of cut and surface roughness in machining?
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What is the definition of repeatability in measurement?
What is the definition of repeatability in measurement?
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What is the definition of resolution in measurement?
What is the definition of resolution in measurement?
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What is the relationship between injection pressure and accuracy in injection molding?
What is the relationship between injection pressure and accuracy in injection molding?
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What is the relationship between tool life and accuracy in machining?
What is the relationship between tool life and accuracy in machining?
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What is the primary characteristic of random variation?
What is the primary characteristic of random variation?
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What is the general model of process variation?
What is the general model of process variation?
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Study Notes
Variation and Quality
- Variation refers to the change in outcome of a process, while quality is the ability of a product or service to consistently meet customer needs.
- Tolerance is the allowable or permissible limit of variation of a process.
Measure of Quality
- Quality is measured by how well a product or service meets customer needs, which should be related to the specifications of the product.
- Quantifying variation statistically is important to understand the measurement of variation from a process.
Normal Distribution
- A normal distribution helps quantify the outcome of a process and understand the measurement of variation from a process.
- It is a probability distribution of the occurrence of data, and naturally occurring phenomena tend to approximate the normal distribution.
- In manufacturing, normal distribution is a means of quality control.
Normal Distribution Examples
- Car tires can be modeled using a normal distribution, with a mean lifetime and standard deviation.
- The normal distribution can be used to calculate the fraction of tires that can be expected to wear out within a certain range.
Other Types of Distributions
- Lognormal distribution: the logarithm of x is distributed normally, used in applications such as metal powder for 3D printing.
- Lognormal distribution is used when the data is not symmetric around the mean.
Process Sensitivity
- Process sensitivity refers to the factors that affect process variations, including process, material, equipment, operator, environment, and measurement.
Factors Affecting Process Variations
- Process: inherent capability, change of settings
- Material: raw material variation, defects
- Equipment: tool wear, equipment maintenance or calibration
- Operator: procedure, distraction, fatigue
- Environment: temperature, humidity, vibration
- Measurement: capability of the tool (resolution), need for calibration
Types of Variation
- Systematic ("special cause") variation: influences of process parameters or external disturbances that can be isolated and possibly predicted or removed.
- Random ("common cause") variation: caused by uncontrollable factors that result in a steady but random distribution of output around the average of the data.
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Description
This quiz covers the concept of normal distribution, its application in quality control, and related probability density functions and cumulative distribution functions.