Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
12th Edition
ISBN: 9781259580093
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 10, Problem 19P
Summary Introduction
To determine: The median run test and up/down test on the data and make conclusion.
Introduction: Run chart refers to a line graph that displays the recorded data based on the time sequence.
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Rolls of coiled wire are monitored using a c-chart. Twenty rolls have been examined, and the number of defects per roll has been
recorded in the following table. Using the set of 20 observations, perform run tests on the data. What can you conclude about the
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Sample Number of Defects Sample Number of Defects
11
1
2
3
4
5
167390
Test
First
Second
297445TASA
6
8
12
13
14
15
16.
17
18
19
20
Conclusion
6
7
5
7
5
106
Quality control in a factory pulls 40 parts with paint, packaging, or electronic defects from anassembly line. Of these, 28 had a paint defect, 17 had a packaging defect, 13 had an electronicdefect, 6 had both paint and packaging defects, 7 had both packaging and electronics defects, and 10had both paint and electronic defects. Did any part have all three types of defect? If so, how many?
NanosElectron, Inc. produces 75,000 circuit boards a month. Three characteristics are inspected on a random selection of 800 boards per week. Over the last week, four defects for one characteristic were identified, two defects for another characteristic, and one defect for the third characteristic were identified. What is the general sigma standard for this procedure if these inspections had created fault counts that were reflective of the population? What is the sigma standard for the feature with four defects?
Chapter 10 Solutions
Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
Ch. 10.2 - A potato chip is a delicate thing Fragile A pound...Ch. 10.2 - A potato chip is a delicate thing Fragile A pound...Ch. 10.5 - It's estimated that more than 7 000 hospital...Ch. 10.5 - It's estimated that more than 7 000 hospital...Ch. 10 - Prob. 1DRQCh. 10 - Prob. 2DRQCh. 10 - Prob. 3DRQCh. 10 - Prob. 4DRQCh. 10 - Prob. 5DRQCh. 10 - Prob. 6DRQ
Ch. 10 - Prob. 7DRQCh. 10 - Prob. 8DRQCh. 10 - Prob. 9DRQCh. 10 - Prob. 10DRQCh. 10 - Prob. 11DRQCh. 10 - Prob. 12DRQCh. 10 - Prob. 13DRQCh. 10 - Prob. 14DRQCh. 10 - Prob. 15DRQCh. 10 - Prob. 16DRQCh. 10 - Prob. 1TSCh. 10 - Prob. 2TSCh. 10 - Prob. 3TSCh. 10 - Prob. 1CTECh. 10 - Prob. 2CTECh. 10 - Prob. 3CTECh. 10 - Prob. 4CTECh. 10 - Prob. 1PCh. 10 - Prob. 2PCh. 10 - Prob. 3PCh. 10 - Prob. 4PCh. 10 - Prob. 5PCh. 10 - Prob. 6PCh. 10 - Prob. 7PCh. 10 - Prob. 8PCh. 10 - Prob. 9PCh. 10 - Prob. 10PCh. 10 - Prob. 11PCh. 10 - Prob. 12PCh. 10 - Prob. 13PCh. 10 - Prob. 14PCh. 10 - Prob. 15PCh. 10 - Prob. 16PCh. 10 - Prob. 17PCh. 10 - A production process consists of a three-step...Ch. 10 - Prob. 19PCh. 10 - Prob. 20PCh. 10 - Prob. 21PCh. 10 - Prob. 22PCh. 10 - Prob. 23PCh. 10 - Prob. 24PCh. 10 - Prob. 25PCh. 10 - Prob. 26PCh. 10 - Prob. 27PCh. 10 - Prob. 28PCh. 10 - Prob. 29PCh. 10 - Prob. 1.1CQCh. 10 - Prob. 2.1CQCh. 10 - Prob. 2.2CQCh. 10 - Prob. 2.3CQCh. 10 - Prob. 2.4CQ
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- A shirt manufacturer buys cloth by the 100-yard roll from a supplier. For setting up a control chart to manage the irregularities (e.g., loose threads and tears), the following data were collected from a sample provided by the supplier. SAMPLE 1 2 3 4 5 6 7 8 9 10 IRREGULARITIES 3 5 2 6 5 4 6 3 4 5 Determine the c¯�¯ , Sc�� , UCL and LCL for a c-chart with z = 2. Note: Round your answers to 2 decimal places. Suppose the next five rolls from the supplier had three, two, five, three, and seven irregularities. Is the supplier process under control? multiple choice Yes Noarrow_forwarddefine reliability and validity and explain in detail why are both important for any test ?arrow_forwardJim’s Outfitters, Inc., makes custom fancy shirts for cowboys. The shirts could be flawed in various ways, including flaws in the weave or color of the fabric, loose buttons or decorations, wrong dimensions, and uneven stitches. Jim randomly examined 10 shirts, with the following results:Shirt Defects1 82 03 74 125 56 107 28 49 610 6a. Assuming that 10 observations are adequate for these purposes, determine the three-sigma control limits for defects per shirt.b. Suppose that the next shirt has 13 flaws. What can you say about the process now?arrow_forward
- What are the advantages and disadvantages of non-parametric tests? What is chi-square test?arrow_forwardTwenty samples of 100 items each were inspected when a process was considered to be operating satisfactorily. In the 20 samples, a total of 140 items were found to be defective. (a) What is an estimate of the proportion defective when the process is in control? (b) What is the standard error of the proportion if samples of size 100 will be used for statistical process control? (Round your answer to four decimal places.) (c) Compute the upper and lower control limits for the control chart. (Round your answers to four decimal places.) UCL = LCL =arrow_forwardPareto solution The following table shows the defects identified in the final inspection, during a month, in the soft drink bottles, as well as the number of times these have occurred.arrow_forward
- Jim's Outfitters, Ic., makes custom western shirts. The shirts could be flawed in various ways, including flaws in the weave or color of the fabric, loose buttons or decorations, wrong dimensions, and uneven stitches. Jim randomly examined 10 shirts, with the following results shown to the right. Shirt Defects 1 10 3 9 11 5 3 6 9 7 3 8 6 9 10 7 a. Assuming that 10 observations are adequate for these purposes, determine the three-sigma control limits for defects per shirt. The UCL, equals and the LCL. equals| (Enter your responses rounded to two decimal places. If your answer for LCL, is negative, enter this value as 0.)arrow_forward380,000 automotive A-Frame brackets are stamped in a year with a complex process involving shearing, forming, stamping, and heat treating. Each bracket has 6 Critical To Quality features. 627 brackets had at least one defect. Evaluation of the 627 brackets showed a total of, 1191 defects. Calculate the defects per million opportunities (DPMO). Calculate the defects per million (DPM). Calculate the defective units per million (DUPM).arrow_forwardSuppose that a quality characteristic is normally distributed with specifications at 100 ± 20. The process standard deviation is 6.(a) Suppose that the process mean is 100. What are the natural tolerance limits? Calculate Cp and Cpk and interpret these ratios. What fraction of parts do you expect to be defective?(b) Suppose that the process mean is 106. What are the natural tolerance limits? What is thefraction defective? Calculate Cp and Cpk and interpret these ratios.arrow_forward
- The defect rate for data entry of insurance claims hashistorically been about 1.5%.a) What are the upper and lower control chart limits if you wishto use a sample size of 100 and 3-sigma limits?b) What if the sample size used were 50, with 3s ?c) What if the sample size used were 100, with 2s ?d) What if the sample size used were 50, with 2s ?e) What happens to snp when the sample size is larger?f) Explain why the lower control limit cannot be less than 0.arrow_forwardPlease do not give solution in image format thankuarrow_forwardDescribe a situation where a control chart is the right tool for quality conformance. If you were a Quality Manager, would you be an advocate for the use of control charts? Why or why not?arrow_forward
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