Operations Management
2nd Edition
ISBN: 9781260484687
Author: CACHON, Gerard
Publisher: MCGRAW-HILL HIGHER EDUCATION
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Chapter 9, Problem 8PA
Summary Introduction
To determine: The option that is correct about Pareto diagram.
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Which of the following statements about Pareto diagrams is correct?a. The Pareto diagram shows the possible root causes of a problem but does not show thefrequency of defect occurrences.b. The Pareto diagram shows the defects in order from most commonly occurring to leastcommonly occurring.c. The Pareto diagram shows the mean of a random sample at various points in time.d. The bars in the Pareto diagram have, on average, roughly the same height.
Increasing sample size n will affect the control limits of xbar chart and R chart in which way?
Select one:
a. Widening the control limits of xbar chart and narrowing the control limits of R chart
b. Do not change the control limits of both charts
c. Narrowing the control limits of both xbar and R charts
d. Widening the control limits of both xbar and R charts
e. Narrowing the control limits of xbar chart and widening the control limits of R chart
You work for Raider Data Systems where thousands of insurance records are entered by clerks each day for a variety of client firms. You are in charge of setting control limits to include 99.73% of the random variation in the data entry process when it is in control. Samples that you collected from 20 employees are shown below. You carefully examine 100 records entered by each employee and count the number of errors entered by each clerk. You also compute the proportion defective in each sample. Using a p-chart, what are the upper and lower control limits?
Sample
Errors Made
Proportion Defective
1
4
0.04
2
5
0.05
3
6
0.06
4
3
0.03
5
8
0.08
Chapter 9 Solutions
Operations Management
Ch. 9 - Prob. 1CQCh. 9 - Prob. 2CQCh. 9 - Prob. 3CQCh. 9 - Prob. 4CQCh. 9 - Prob. 5CQCh. 9 - Prob. 6CQCh. 9 - Prob. 7CQCh. 9 - Prob. 8CQCh. 9 - Prob. 9CQCh. 9 - Prob. 10CQ
Ch. 9 - Prob. 11CQCh. 9 - Prob. 12CQCh. 9 - Prob. 13CQCh. 9 - Prob. 14CQCh. 9 - Prob. 15CQCh. 9 - Prob. 16CQCh. 9 - Prob. 17CQCh. 9 - Prob. 18CQCh. 9 - Prob. 1PACh. 9 - Prob. 2PACh. 9 - Prob. 3PACh. 9 - Prob. 4PACh. 9 - Prob. 5PACh. 9 - Prob. 6PACh. 9 - Prob. 7PACh. 9 - Prob. 8PACh. 9 - Prob. 9PACh. 9 - Prob. 10PACh. 9 - Prob. 11PACh. 9 - Prob. 12PACh. 9 - Prob. 2.1CCh. 9 - Prob. 2.2C
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- Using samples of 200 credit card statements, an auditor found the following:Sample 1 2 3 4Number with errors 4 2 5 9a. Determine the fraction defective in each sample.b. If the true fraction defective for this process is unknown, what is your estimate of it?c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size?d. What control limits would give an alpha risk of .03 for this process?e. What alpha risk would control limits of .047 and .003 provide?f. Using control limits of .047 and .003, is the process in control?g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What arethe values of the mean and standard deviation of the sampling distribution?h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using twosigma control limits. Is the process in control?arrow_forwardIn quality assurance, to monitor characteristics that have discrete values and can be counted, we can use: a. control chart for variables b. control chart for attributes c. x-chart d. A&Carrow_forwardA quality control technique for tracing back from observed problems to likely causes is: A control chart A Pareto chart Benchmarking An Ishikawa diagramarrow_forward
- 6. The defect rate for your product has historically been about 4.50%. For a sample size of 500, the upper and lower 3-sigma control chart limits are: Part 2 UCLp = _______ (enter your response as a number between 0 and 1, rounded to four decimal places). The Standard deviation of defect rate of product is given __________. The Upper and Lower 3-sigma control charts limits are: UCLp ________ LCLp ________arrow_forwardA point which is outside of the lower control limit a. should be ignored unless another point is outside that limit O b. should be investigated because an assignable cause of variation might be present O c. is impossible since the lower limit is always zero O d. is an indication that no cause of variation is present O e. should be ignored because it signifies better than average qualityarrow_forwardThe higher the acceptable risk, the smaller the sample size. True Falsearrow_forward
- In quality assurance, to monitor characteristics that have discrete values and can be counted, we can use a. control chart for variables b. control charts for attributes c. x-chart d. A&Carrow_forwardWhich of the following holds the best for a point that is outside the upper control limit of a R- chart Select one: a. should be investigated because an assignable cause of variation might be present b. is an indication that no cause of variation is present c should be ignored unless another point is outside that limit d. should be ignored because it signifies better than average qualityarrow_forwardAt Webster Chemical Company, lumps in the caulking compound could cause difficulties in dispensing a smooth bead from the tube. Even when the process is in control, an average of four lumps per tube of caulk will remain. Testing for the presence of lumps destroys the product, so an analyst takes random samples. The following results are obtained: Tube No. Lumps Tube No. Lumps Tube No. Lumps 1 6 5 6 9 5 2 5 6 4 10 0 3 0 7 1 11 9 4 4 8 6 12 2 Determine the c-chart two-sigma upper and lower control limits for this process. Is the process in statistical control?arrow_forward
- A process screens a certain type of potash granule, resulting in a mean diameter of 0.067 cm and a standard deviation of 0.004 cm. The allowable variation in granule diameter is from 0.048cm to 0.087cm. Is the process capable? a. Cannnot be determined because sample size is not available b. Cannot be determined because USL and LSL information is not available c. Process is NOT capable d. Process is capablearrow_forwardWhich is best defined as “the critical difference a researcher wants to be able to detect”? 1. alpha 2. beta 3. delta 4. sample size 5. sigmaarrow_forwardWhich the of the following holds the best for a point that is outside of the upper control limit on an R-chart Select one: a. should be ignored because it signifies better than average quality b. should be investigated because an assignable cause of variation might be present c. should be ignored unless another point is outside that limit d. is an indication that no cause of variation is presentarrow_forward
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