OPERATIONS MANAGMENT IN...-ACCESS
7th Edition
ISBN: 9781259716225
Author: SCHROEDER
Publisher: MCG
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Question
Chapter 9, Problem 4P
a)
Summary Introduction
To determine: The UCL and LCL for a
b)
Summary Introduction
To determine: The UCL and LCLs for a sample size of 10,000.
c)
Summary Introduction
To determine: The sample size that should be recommended.
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10. To monitor the quality of pepperoni pizzas, a quality control manager collects random samples of pizzas and evaluates them. The process mean and standard deviation for the weight and diameter of pizzas are not known. Which of the following(s) is a correct matching between the type of data collected and the choice of control chart used? Select all correct matchings.
Select one:
a.
The manager weighed the sampled pizzas and constructed a c-chart.
b.
The manager rated the appearance of sampled pizzas as acceptable or unacceptable and then constructed a c-chart.
c.
The manager counted the number of pepperonis per each inspected pizza and constructed a mean chart.
d.
The manager measured the diameter of the sampled pizzas and constructed a range chart.
What trade-offs are involved in each of these decisions?a. Deciding whether to use two-sigma or three-sigma control limits.b. Choosing between a large sample size and a smaller sample size.c. Trying to increase the capability of a process that is barely capable.
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
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
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- At 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_forwardThe Watson Electric Company produces incandescent light bulbs. The following data on the number oflumens for 40-watt light bulbs were collected when the process was in control. a. Calculate control limits for an R-chart and an x-chart.b. Since these data were collected, some new employees were hired. A new sample obtained the following readings: 625, 592, 612, and 635. Is the process still in control?arrow_forwardThe specification limits for a product are 9.9 cm and 12.35 cm. A process that produces the product has a mean of 11.18 cm and a standard deviation of 0.52 cm. What is the process capability, Cpk? a. 0.8205 b. 1.571 c. 0.7853 d. 0.75arrow_forward
- Studies on a machine that molds plastic water pipe indicate that when it is injecting1-inch diameter pipe, the process standard deviation is 0.05 inches. The one-inchpipe has a specification of 1-inch plus or minus 0.10 inch. What is the processcapability index (Cp) if the long-run process mean is 1 inch?arrow_forwardA process that is considered to be in control measures an ingredient in ounces. Below are the last 10 samples (each of size 11 = 5) taken. The population process standard deviation, a) What is u;:?b) If::: = 3, what are the control limits for the mean chart?c) What are the control limits for the range chart?d) Is the process in control?arrow_forwardThe inner diameter of piston rings follows a normal distribution with mean 75mm and variance =9. The sample size is 5, X-bar chart is established. If L =2, what is the type I error rate when process is in-control? If we change the control limits to UCL = 78.354, and LCL = 71.646, what is Type I error rate?arrow_forward
- A manager wishes to build a control chart for a process. A total of hve (05) samples are collected with six x(06) observations within each sampleThe sample means (X-bar) are15.36, 14.61, 16.36, 20.28and 15.77 respectively. Also, the corresponding ranges are 8, 37, 4.81, 8.17 and 3.31 respectivelyThe lower and upper control limits of the x-bar chart are respectivelyarrow_forwardPertaining to the OC curve for any control chart, which of the following is INCORRECT? Select one: a. None of those listed b.OC stands for Operating Characteristics c. The error shown in the OC curve is type 2 error d. For a given sample size, the probability of error is inversely proportional to the amount of deviation (away from the target value) e. An OC curve corresponding to a larger sample size is steeperarrow_forwardThe overall average of a process you are attemptingto monitor at Gihan Edirisinghe Motors is 75 units. The processstandard deviation is 1.95, and the sample size is 11 = 10. Whatwould be the upper and lower control limits for a 3-sigma controlchart?arrow_forward
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