In: Operations Management
6) (10pts) Using the appropriate control chart, determine two-sigma control limits for each case:
Automobiles being prepared for shipment dealer,
Notes any that do not start on the first try. The lot size is 100 mowers, and an average of 4 did not start (4 percent
a.
Since only the average number of scratches is known, C-chart would be applicable in this case.
Average Number of scratches or non-conformities on each automobile = C bar = 3.9
Z = 2
UCL = C bar + ( Z x √C bar) = 3.9 + ( 2 x √3.9)
= 3.9 + ( 2 x 1.975) = 3.9 + 3.95
= 7.85
LCL = Max (0, C bar - ( Z x √C bar))
C bar - (Z x √C bar) = 3.9 - 3.95 = -0.05
So, LCL = Max ( 0, -0.05) = 0
Therefore,
UCL = 7.85
LCL = 0
b)
Since the percent defective and sample size are known, P-chart would be applicable in this case.
Percent defective = 4% = 0.04
Z = 2
Number of samples = 100
UCL = Percent defective + ( Z x Standard Deviation)
LCL = Percent defective - ( Z x Standard Deviation)
Standard Deviation = √((Percent defective x ( 1 - Percent defective)) / Number of samples)
= √ (( 0.04 x ( 1 - 0.04))/ 100) = √(( 0.04 x 0.96)/ 100)
√ ( 0.0384/ 100) = √0.000384
= 0.0196
So,
UCL = 0.04 + ( 2 x 0.0196) = 0.04 + 0.0392 = 0.0792
LCL = 0.04 - ( 2 x 0.0196) = 0.04 - 0.0392 = 0.0008