Operations Management, Student Value Edition
11th Edition
ISBN: 9780132863308
Author: Jay Heizer
Publisher: PEARSON
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Chapter 6.S, Problem 17P
Summary Introduction
To determine: The upper and lower control limits.
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Type I error (alpha risk). After several investigations of points outside control limits revealed nothing, a manager began to wonder about the probability of a Type I error for the control limits used(z = 1.90).a. Determine the alpha risk (i.e., P [Type I error]) for this value of z.b. What z would provide an alpha risk of about 2 percent?
No AI
Q) Which one of the following is considered a cost of quality?
Penalty costs
Direct costs
Internal failure costs.
What is the upper confidence limit (3 sigma) for proportion defective when the average daily production is 2500 units with an established fraction defective of 0.05?
Select one:
a.
0.063
b.
0.066
c.
0.054
d.
0.058
Chapter 6 Solutions
Operations Management, Student Value Edition
Ch. 6.S - Prob. 1DQCh. 6.S - Define in statistical control.Ch. 6.S - Prob. 3DQCh. 6.S - Prob. 4DQCh. 6.S - Prob. 5DQCh. 6.S - Prob. 6DQCh. 6.S - Prob. 7DQCh. 6.S - Prob. 8DQCh. 6.S - Prob. 9DQCh. 6.S - Prob. 10DQ
Ch. 6.S - Prob. 11DQCh. 6.S - Prob. 12DQCh. 6.S - Prob. 13DQCh. 6.S - Prob. 14DQCh. 6.S - Prob. 15DQCh. 6.S - Prob. 16DQCh. 6.S - Prob. 17DQCh. 6.S - What does the formula L = D2C mean?Ch. 6.S - Prob. 19DQCh. 6.S - An avant-garde clothing manufacturer runs a series...Ch. 6.S - Prob. 2PCh. 6.S - Prob. 3PCh. 6.S - Prob. 4PCh. 6.S - Kathleen McFaddens restaurant in Boston has...Ch. 6.S - Develop a flowchart [as in Figure 6.6 (e) and...Ch. 6.S - Prob. 7PCh. 6.S - Prob. 8PCh. 6.S - Prob. 9PCh. 6.S - Prob. 10PCh. 6.S - Prob. 11PCh. 6.S - Prob. 12PCh. 6.S - Prob. 13PCh. 6.S - Prob. 14PCh. 6.S - Prob. 15PCh. 6.S - Prob. 16PCh. 6.S - Prob. 17PCh. 6.S - Prob. 18PCh. 6.S - Prob. 19PCh. 6.S - Prob. 20PCh. 6.S - Prob. 21PCh. 6.S - Prob. 22PCh. 6.S - Prob. 23PCh. 6.S - Prob. 24PCh. 6.S - Prob. 25PCh. 6.S - Prob. 26PCh. 6.S - Prob. 27PCh. 6.S - Prob. 28PCh. 6.S - Prob. 29PCh. 6.S - Prob. 30PCh. 6.S - Prob. 31PCh. 6.S - Prob. 32PCh. 6.S - Prob. 33PCh. 6.S - Prob. 34PCh. 6.S - Prob. 35PCh. 6.S - Prob. 1CSCh. 6.S - Prob. 2CSCh. 6.S - Prob. 1.1VCCh. 6.S - Prob. 1.2VCCh. 6.S - Prob. 1.3VCCh. 6.S - Prob. 2.1VCCh. 6.S - Prob. 2.2VCCh. 6.S - Prob. 2.3VCCh. 6.S - Prob. 2.4VCCh. 6 - Prob. 1DQCh. 6 - Prob. 2DQCh. 6 - Prob. 3DQCh. 6 - Prob. 4DQCh. 6 - Prob. 5DQCh. 6 - Prob. 6DQCh. 6 - Prob. 7DQCh. 6 - Prob. 8DQCh. 6 - Prob. 9DQCh. 6 - Prob. 10DQCh. 6 - Prob. 11DQCh. 6 - Prob. 12DQCh. 6 - Prob. 13DQCh. 6 - Prob. 14DQCh. 6 - Prob. 15DQCh. 6 - Prob. 16DQCh. 6 - Prob. 17DQCh. 6 - What does the formula L = D2C mean?Ch. 6 - Prob. 19DQCh. 6 - An avant-garde clothing manufacturer runs a series...Ch. 6 - Prob. 2PCh. 6 - Prob. 3PCh. 6 - Prob. 4PCh. 6 - Kathleen McFaddens restaurant in Boston has...Ch. 6 - Develop a flowchart [as in Figure 6.6 (e) and...Ch. 6 - Prob. 7PCh. 6 - Prob. 8PCh. 6 - Prob. 9PCh. 6 - Prob. 10PCh. 6 - Prob. 11PCh. 6 - Prob. 12PCh. 6 - Prob. 13PCh. 6 - Prob. 14PCh. 6 - Prob. 15PCh. 6 - Prob. 16PCh. 6 - Prob. 17PCh. 6 - Prob. 1CSCh. 6 - How could the survey have been more useful?Ch. 6 - Prob. 3CSCh. 6 - Prob. 1.1VCCh. 6 - Prob. 1.2VCCh. 6 - Prob. 1.3VCCh. 6 - Prob. 1.4VCCh. 6 - Prob. 2.1VCCh. 6 - Prob. 2.2VCCh. 6 - Prob. 2.3VCCh. 6 - Prob. 2.4VCCh. 6 - Prob. 2.5VC
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- The percent defective from an incoming lot is 3%. AnOC curve showed the probability of acceptance to be 0.55. Given a lot size of 2,000 and a sample of 100, determine the average out-going quality in percent defective.arrow_forward86) PLEASE HELP ME WITH THIS Design specifications require that a key dimension on a product measure 106 = 11 units. A process being considered for producing this product has a standard deviation of four units. a. What can you say (quantitatively) regarding the process capability? Assume that the process is centered with respect to specifications.Note: Round your answer to 4 decimal places. b. Suppose the process average shifts to 97. Calculate the new process capability. Note: Round your answer to 4 decimal places.. c. What Is the probability of defective output after the process shift? Note: Use Excel's NORM.S.DIST function to find the correct probability. Round "z" values to 2 decimal places. Round y answer to 4 decimal places.arrow_forwardDesign specifications require that a key dimensions on a product measures 346=12 units . A process is being considered for producing this product has a standard deviation of eight units. The process average has been shifted to 350 so that the process capability is 0.3333. Approximately, what percentage of items produced will be defective?arrow_forward
- Ettlie Engineering has a new catalyst injection system for your countertop production line. Your process engineering departmenthas conducted experiments and determined that the mean is 8.01 grams with a standard deviation of .03. Your specificationsare: m = 8.0 and s = .04, which means an upper specification limit of 8.12 [ = 8.0 + 3(.04)] and a lower specification limit of7.88 [= 8.0 - 3(.04)].What is the Cpk performance of the injection system?arrow_forward A fast food franchise tracked the number of errors that occurred in customers orders. These included; * wrong menu items *wrong size drink *lack of condiments *wrong price total *and so on... Some orders may have more than one error. In one week, 1500 orders were filled, and a total of 72 errors were discovered. Find the control limits for a C – Chart to monitor the number of errors per order. Is order accuracy, good or bad ? Explain.arrow_forwardThe postmaster of a small western town receives a certain number of complaints each day about mail delivery. DAY 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Number of complaints 4 10 16 8 9 6 5 14 13 7 6 4 2 10 a. Determine three-sigma control limits using the above data. (Round your intermediate calculations to 4 decimal places and final answers to 3 decimal places. Leave no cells blank - be certain to enter "0" wherever required. Round up any negative control limit value to zero.) UCL ______ LCL ____arrow_forward
- Design specifications require that a key dimension on a product measure 105 ± 12 units. A process being considered for producing this product has a standard deviation of four units. a. What can you say (quantitatively) regarding the process capability? Assume that the process is centered with respect to specifications. (Round your answer to 4 decimal places.) b. Suppose the process average shifts to 98. Calculate the new process capability. (Round your answer to 4 decimal places.) c. What is the probability of defective output after the process shift? (Use Excel's NORM.S.DIST() function to find the correct probability. Round "z" values to 2 decimal places. Round your answer to 4 decimal places.)arrow_forwardDesign specifications require that a key dimension on a product measure 100 plusminus 10 units. A process being considered for producing this product has a standarddeviation of 5 units.(a) What can you say (quantitatively) regarding the process capability?(b) Suppose the process average shifts to 102. Calculate the new process capability.(c) What can you say about the process after the shift? Approximately whatpercentage of the items produced will be defective?arrow_forwardCAN I GET HELP WITH THIS QUESTION PLEASE AND THANK YOU Q1. Determine the upper and lower control limits for a relevant control chart.arrow_forward
- Design specifications require that a key dimension on a product measure 100 ± 10 units. A process being considered for producing this product has a standard deviation of four units.a. What can you say (quantitatively) regarding the process capability?b. Suppose the process average shifts to 92. Calculate the new process capability.c. What can you say about the process after the shift? Approximately what percentage of the items produced will be defective?arrow_forwardIn each of the following, name the term defined or answer the question. Answers are listed at the bottom.1. A Six Sigma process that is running at the center of its control limits would expect this defect rate.2. The variation that can be clearly identified and possibly managed.3. Variation is inherent in the process itself.4. If a process has a capability index of 1 and is running normally (centered on the mean), what percentage of the units would one expect to be defective?5. An alternative to viewing an item as simply good or bad due to it falling in or out of the tolerance range.6. Quality characteristics are classified as either conforming or not conforming to specification.arrow_forward1. Twenty samples, each consisting of 100 admission applications at a university, resulted in a total of 80 applications that had some type of error. Compute the control limits for a p-chart. What would be the impact on the final results if each sample contained 200 loan applications rather than 100 and all other data remained the same? Please show in detail these impacts quantitatively in your answers.arrow_forward
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