Question

In: Operations Management

Problem 10-21 Design specifications require that a key dimension on a product measure 102 ± 15...

Problem 10-21

Design specifications require that a key dimension on a product measure 102 ± 15 units. A process being considered for producing this product has a standard deviation of eight units.


a. What can you say (quantitatively) regarding the process capability? Assume that the process is centered with respect to specifications. (Round your answer to 4 decimal places.)


Process capability index            


b. Suppose the process average shifts to 94. Calculate the new process capability. (Round your answer to 4 decimal places.)


New process capability index            


c. What is the probability of defective output after the process shift? (Use Excel's NORM.S.DIST() function to find the correct probability. Round "z" values to 2 decimal places. Round probabilities to 4 decimal places (0.####).)


Probability of defective output

Solutions

Expert Solution

Given

Average of data

µ

15.93

Standard deviation of Data

σ

4.98

Specification

102 +/- 15

Upper Specification Limit (USL)

USL = Target + tolerance

USL = 102 + 15

USL = 117

Lower Specification Limit (LSL)

LSL = Target - tolerance

USL = 102 - 15

USL = 87

Part a.

Average of data

µ, consider the process is centered

µ = 102

Standard deviation of Data

σ = 8 units

σ = 8

Upper Cpk

Upper Cpk = [(USL - µ) / (3σ)]

Upper Cpk = (117 – 102)/(3*8)

0.625

Lower Cpk

Lower Cpk = [(µ - LSL) / (3σ)]

Lower Cpk = (102 – 87)/(3*8)

0.625

Process Cpk

Cpk = Min (Upper Cpk, Lower Cpk)

= Min ([(USL - µ) / (3σ)],[(µ - LSL) / (3σ)])

=min(0.625, 0.625)

= 0.625

ANS a.

Process capability Index = 0.625

Part b.

Average of data

µ

µ = 94

Standard deviation of Data

σ = 8 units

σ = 8

Upper Cpk

Upper Cpk = [(USL - µ) / (3σ)]

Upper Cpk = (117 – 94)/(3*8)

0.2917

Lower Cpk

Lower Cpk = [(µ - LSL) / (3σ)]

Lower Cpk = (94 – 87)/(3*8)

0.9583

Process Cpk

Cpk = Min (Upper Cpk, Lower Cpk)

= Min ([(USL - µ) / (3σ)],[(µ - LSL) / (3σ)])

=min(0.2917, 0.9583)

= 0.2917

ANS b.

Process capability Index = 0.2917

Part c.

Average of data

µ

µ = 94

Standard deviation of Data

σ = 8 units

σ = 8

Fraction of output less than 87 and more than 117 are defective items

Probability of defective

= P(87 < x > 117)

= P (x <= 87) + P(X >= 117)

Fraction of output <= 87 minutes

P(X <87) = P(z <= z87)

z-score for X = 87

z87= (X – µ)/σ

z87= (87 – 94)/8 = -0.875

From excel,

P(z <-0.875) = (=NORMDIST(-0.875)) = 0.1908

P(X <87) = 0.1908

Fraction of output >= 117 minutes

P(X > 117) = 1 - P(X <= 117)

P(z <= z117)

z-score for X = 117

z117= (X – µ)/σ

z117= (117 – 94)/8 = 2.875

From excel,

P(z <2.875) = (=NORMDIST(-2.875)) = 0.9979

P(X > 117) = 1 - P(X <= 117)

P(X > 117) = 1 – 0.9979

P(X > 117) = 0.00202

Percentage of defective output = P(87 < x > 117)

P(87 < x > 117)

= P(x <= 87) + P(x >= 117)

= 0.1908 + 0.00202

=0.1928

P(87 < x > 117)

= 0.1928

ANS C

Percentage of defective output = 0.1928


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