Flextronchip, an OEM manufacturer, has a fifth-generation chip for cell phones, with chip specification of 0.2 ± 0.0002 mm for the distance between two adjacent pins. The loss due to a defective chip has been estimated as $28. Required: 1. Compute the value of k, the cost coefficient in the Taguchi quality loss function (QLF), L(x) = k(x − T)2. 2. Assume that the quality control manager takes a sample of 100 chips from the production process. The results are as follows: Measurement Frequency 0.1996 2 0.1997 6 0.1998 14 0.1999 9 0.2000 45 0.2001 9 0.2002 8 0.2003 5 0.2004 2 a. & b. Use the appropriate Taguchi quality loss function, L(x), to calculate the estimated quality loss for each of the observed measurements. Additionally, calculate the expected (i.e., average) loss per unit for the production process as a whole
Flextronchip, an OEM manufacturer, has a fifth-generation chip for cell phones, with chip specification of 0.2 ± 0.0002 mm for the distance between two adjacent pins. The loss due to a defective chip has been estimated as $28.
Required:
1. Compute the value of k, the cost coefficient in the Taguchi quality loss function (QLF), L(x) = k(x − T)2.
2. Assume that the
Measurement | Frequency |
---|---|
0.1996 | 2 |
0.1997 | 6 |
0.1998 | 14 |
0.1999 | 9 |
0.2000 | 45 |
0.2001 | 9 |
0.2002 | 8 |
0.2003 | 5 |
0.2004 | 2 |
a. & b. Use the appropriate Taguchi quality loss function, L(x), to calculate the estimated quality loss for each of the observed measurements. Additionally, calculate the expected (i.e., average) loss per unit for the production process as a whole.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images