The no. of defects in 20 pieces of cloth each of 100 meter length is given below: 2, 1, 3, 3, 1, 6, 4, 3, 7, 10, 2, 2, 6, 4, 3, 2, 1, 5, 6, 4. Draw the appropriate control chart and interpret the result.
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Application of statistics for management. see diagram.
A Control chart is made for decision making by management reviewing the value of statistic if it is outside the threshold limits.
statistic here is number of defects: x. we have N = 20
Average of x = μ = sum/N = 75/20 = 3.75
Standard deviation of x = σ = 2.657
Standard error = σ_ε = σ/√20 = 0.5916
Warning levels for x :
x = μ + 2 * σ_ε = 4.9332 and μ - 2 * σ_ε = 2.5668
A piece is accepted with a warning if
μ - 3 * σ_ε < x < μ - 2 * σ_ε or μ + 2 σ_ε < x < μ + 3 σ_ε
Accepted range :
μ - 3 * σ_ε < x < μ + 3 * σ_ε
1.9752 < x < 5.5248
Rejection threshold levels: control limits.
rejected if : x > μ + 3 σ_ε or x < μ - 3 σ_ε
So the pieces with number of defects : 1, 6, 7, 10, will be sent for quality assurance and process verification, the cause analysis.
Normally, for a good process, 99.7% of the values should be between the control limits. Here we have 8 values of 20 being outside the control range.
The manufacturing process needs to be reviewed.
A Control chart is made for decision making by management reviewing the value of statistic if it is outside the threshold limits.
statistic here is number of defects: x. we have N = 20
Average of x = μ = sum/N = 75/20 = 3.75
Standard deviation of x = σ = 2.657
Standard error = σ_ε = σ/√20 = 0.5916
Warning levels for x :
x = μ + 2 * σ_ε = 4.9332 and μ - 2 * σ_ε = 2.5668
A piece is accepted with a warning if
μ - 3 * σ_ε < x < μ - 2 * σ_ε or μ + 2 σ_ε < x < μ + 3 σ_ε
Accepted range :
μ - 3 * σ_ε < x < μ + 3 * σ_ε
1.9752 < x < 5.5248
Rejection threshold levels: control limits.
rejected if : x > μ + 3 σ_ε or x < μ - 3 σ_ε
So the pieces with number of defects : 1, 6, 7, 10, will be sent for quality assurance and process verification, the cause analysis.
Normally, for a good process, 99.7% of the values should be between the control limits. Here we have 8 values of 20 being outside the control range.
The manufacturing process needs to be reviewed.
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