
Cost Management: A Strategic Emphasis 5th Edition by David Stout, Edward Blocher, Gary Cokins
Edition 5ISBN: 0073526940
Cost Management: A Strategic Emphasis 5th Edition by David Stout, Edward Blocher, Gary Cokins
Edition 5ISBN: 0073526940Expected Quality Cost, Confidence Interval, and Sample Size (Requires Chapter 8) Paragon Manufacturing produces small motors for assembly in handheld tools such as chain saws and circular saws. The company recently began manufacturing a new motor, model EZ3, and forecasts an annual demand of 200,000 units for this model.
Each model EZ3 requires a housing manufactured to precise engineering specifications. Paragon purchases these housings, which are not subject to quality control inspection before entering the production process; however, Paragon performance-tests the entire motor after final assembly. During pilot production runs of the new motor, several of the housings had wrong sizes and were rejected. If the housings were too shallow, they could not be assembled correctly; if they were too deep, the motor would not operate properly.
Ross Webster, Paragon’s production manager, gathered the following information during the pilot production runs:
• The units that were rejected during performance testing because the housings were too deep had to be torn down and reassembled with new housings. This operation required 1 hour and 15 minutes of additional direct labor for each affected unit.
• The supplier of the housings is willing to take back the defective housings but will refund only one-half of the price. In the future, if Paragon inspects the housings before they enter the assembly process, the supplier will refund the full price of all rejected housings.
• The costs of model EZ3 follow:
Materials[*] | $ 44 |
Direct labor (3 hrs. @$12/hr.) | 36 |
Variable overhead (@$18/hr.) | 54 |
Total costs | $134 |
• The majority of the rejections experienced during the pilot runs were related to the housings. Ross’s estimate of the probability of rejections for a lot of 800 housings follows:
Rejection during Assembly | Rejection during Performance Testing | ||
Quantity | Probability | Quantity | Probability |
90 | 0.40 | 50 | 0.50 |
70 | 0.30 | 40 | 0.15 |
50 | 0.20 | 20 | 0.15 |
30 | 0.10 | 10 | 0.20 |
If Paragon decides to inspect the housings prior to assembly, Ross must select the appropriate sample size by using the following two formulas. The estimated sample size (formula 1) must be modified by the second formula (final sample size) because Ross will be sampling without replacement.
![<span class=bold><span class=bold>Expected Quality Cost, Confidence Interval, and Sample Size (Requires Chapter 8)</span></span> Paragon Manufacturing produces small motors for assembly in handheld tools such as chain saws and circular saws. The company recently began manufacturing a new motor, model EZ3, and forecasts an annual demand of 200,000 units for this model. Each model EZ3 requires a housing manufactured to precise engineering specifications. Paragon purchases these housings, which are not subject to quality control inspection before entering the production process; however, Paragon performance-tests the entire motor after final assembly. During pilot production runs of the new motor, several of the housings had wrong sizes and were rejected. If the housings were too shallow, they could not be assembled correctly; if they were too deep, the motor would not operate properly. Ross Webster, Paragon’s production manager, gathered the following information during the pilot production runs: • The units that were rejected during performance testing because the housings were too deep had to be torn down and reassembled with new housings. This operation required 1 hour and 15 minutes of additional direct labor for each affected unit. • The supplier of the housings is willing to take back the defective housings but will refund only one-half of the price. In the future, if Paragon inspects the housings before they enter the assembly process, the supplier will refund the full price of all rejected housings. • The costs of model EZ3 follow: <table cellspacing=0 cellpadding=0 border=1> <tbody> <tr> <td valign=top align=left> Materials[*] </td> <td valign=top align=center><p align=center>$ 44 </td> </tr> <tr> <td valign=top align=left> Direct labor (3 hrs. @$12/hr.) </td> <td valign=top align=center><p align=center>36 </td> </tr> <tr> <td valign=top align=left> Variable overhead (@$18/hr.) </td> <td valign=top align=center><p align=center>54 </td> </tr> <tr> <td valign=top align=center><p align=center>Total costs </td> <td valign=top align=center><p align=center>$134 </td> </tr> </tbody> </table> • The majority of the rejections experienced during the pilot runs were related to the housings. Ross’s estimate of the probability of rejections for a lot of 800 housings follows: <table cellspacing=0 cellpadding=0 border=1> <tbody> <tr> <td colspan=2 valign=top align=center><p align=center><span class=bold><span class=bold>Rejection during Assembly</span></span> </td> <td colspan=2 valign=top align=center><p align=center><span class=bold><span class=bold>Rejection during Performance Testing</span></span> </td> </tr> <tr> <td valign=top align=center><p align=center><span class=bold><span class=bold>Quantity</span></span> </td> <td valign=top align=center><p align=center><span class=bold><span class=bold>Probability</span></span> </td> <td valign=top align=center><p align=center><span class=bold><span class=bold>Quantity</span></span> </td> <td valign=top align=center><p align=center><span class=bold><span class=bold>Probability</span></span> </td> </tr> <tr> <td valign=top align=center><p align=center>90 </td> <td valign=top align=center><p align=center>0.40 </td> <td valign=top align=center><p align=center>50 </td> <td valign=top align=center><p align=center>0.50 </td> </tr> <tr> <td valign=top align=center><p align=center>70 </td> <td valign=top align=center><p align=center>0.30 </td> <td valign=top align=center><p align=center>40 </td> <td valign=top align=center><p align=center>0.15 </td> </tr> <tr> <td valign=top align=center><p align=center>50 </td> <td valign=top align=center><p align=center>0.20 </td> <td valign=top align=center><p align=center>20 </td> <td valign=top align=center><p align=center>0.15 </td> </tr> <tr> <td valign=top align=center><p align=center>30 </td> <td valign=top align=center><p align=center>0.10 </td> <td valign=top align=center><p align=center>10 </td> <td valign=top align=center><p align=center>0.20 </td> </tr> </tbody> </table> If Paragon decides to inspect the housings prior to assembly, Ross must select the appropriate sample size by using the following two formulas. The estimated sample size (formula 1) must be modified by the second formula (final sample size) because Ross will be sampling without replacement. where: <span class=italics>nc =</span> first estimate of sample size <span class=italics>nf =</span> final sample size <span class=italics>C =</span> confidence coefficient <span class=italics>p =</span> maximum rejection rate <span class=italics>q =</span> <span class=sup>1?</span> <span class=italics>p</span> <span class=italics>a =</span> precision level <span class=italics>N =</span> number of items in the population <span class=bold><span class=bold>Required</span></span> 1. Determine the maximum amount that Paragon Manufacturing would be willing to spend annually to implement quality control inspection of the housings before assembly begins. (Check figure: $509,000.) 2. For the purpose of quality control inspection, determine the sample size that Ross should select from a lot of 800 housings if the desired level is 95.5 percent (confidence coefficient 2.00) with a precision of 1 percent and rejections not to exceed 1 percent. (Check figure: 265 Units.) 3. Without prejudice to your answer in requirement 2, for quality control inspection purposes, assume that the sample size is 240 housings and the desired level is 95.5 percent (confidence coefficient 2.00) with a precision of 1 percent and rejections not to exceed 1 percent. Determine whether Ross should accept or reject a lot if there are: a. Two defective housings in the sample. b. Three defective housings in the sample. Explain your answer in each situation.](https://d2lvgg3v3hfg70.cloudfront.net/SMCC1606/43ac2f2f_1b88_4190_9594_02e720f276d9_SMCC1606_11.jpg)
where:
nc = first estimate of sample size
nf = final sample size
C = confidence coefficient
p = maximum rejection rate
q = 1? p
a = precision level
N = number of items in the population
Required
1. Determine the maximum amount that Paragon Manufacturing would be willing to spend annually to implement quality control inspection of the housings before assembly begins. (Check figure: $509,000.)
2. For the purpose of quality control inspection, determine the sample size that Ross should select from a lot of 800 housings if the desired level is 95.5 percent (confidence coefficient 2.00) with a precision of 1 percent and rejections not to exceed 1 percent. (Check figure: 265 Units.)
3. Without prejudice to your answer in requirement 2, for quality control inspection purposes, assume that the sample size is 240 housings and the desired level is 95.5 percent (confidence coefficient 2.00) with a precision of 1 percent and rejections not to exceed 1 percent. Determine whether Ross should accept or reject a lot if there are:
a. Two defective housings in the sample.
b. Three defective housings in the sample. Explain your answer in each situation.
Step 1 of 4
Management and Control of Quality
Quality is explained as a term associated with customer satisfaction. It is the total level of satisfaction any customer gets from any organization’s products or service. There are two components of quality- Design Quality and Performance Quality. There are various approaches to setting quality related expectations and among those alternatives, Cost of Quality (COQ) Reporting, TQM, Lean System, and Six Sigma are the few.
Step 2 of 4
Step 3 of 4
Step 4 of 4
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