EBK MANUFACTURING ENGINEERING & TECHNOL
7th Edition
ISBN: 9780100793439
Author: KALPAKJIAN
Publisher: YUZU
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Chapter 36, Problem 11RQ
What is acceptance sampling? Why was it developed?
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Why random errors is unavoidable
what is gross error? how to eliminate it gross errors?
(a) Suppose in a double sampling plan
lot size N= 1000,
first sample size n70
second sample size n2 =100
acceptance number for the first sample c, =4
acceptance number for the second sample c2 6
%3D
Explain the steps in the implementation of the plan.
Chapter 36 Solutions
EBK MANUFACTURING ENGINEERING & TECHNOL
Ch. 36 - Define the terms sample size, random sampling,...Ch. 36 - What are chance variations?Ch. 36 - Prob. 3RQCh. 36 - Define standard deviation. Why is it important...Ch. 36 - Describe what is meant by statistical process...Ch. 36 - When is a process out of control? Explain.Ch. 36 - Explain why control charts are developed. How...Ch. 36 - What is a loss function? How is it used?Ch. 36 - What do control limits indicate?Ch. 36 - Prob. 10RQ
Ch. 36 - What is acceptance sampling? Why was it developed?Ch. 36 - Prob. 12RQCh. 36 - What is meant by six-sigma quality?Ch. 36 - Prob. 14RQCh. 36 - Prob. 15RQCh. 36 - Give three methods of nondestructive testing...Ch. 36 - Explain why major efforts are continually being...Ch. 36 - Prob. 18QLPCh. 36 - Prob. 19QLPCh. 36 - Prob. 20QLPCh. 36 - Prob. 21QLPCh. 36 - Prob. 22QLPCh. 36 - What are the advantages of automated...Ch. 36 - Prob. 24QLPCh. 36 - Prob. 25QLPCh. 36 - Explain why GO and NOT GO gages (see Section...Ch. 36 - Prob. 27QLPCh. 36 - Prob. 28QLPCh. 36 - Prob. 29QLPCh. 36 - Prob. 31QLPCh. 36 - Beverage-can manufacturers try to achieve failure...Ch. 36 - Assume that in Example 36.3 the number of samples...Ch. 36 - Calculate the control limits for averages and...Ch. 36 - Calculate the control limits for (a) number of...Ch. 36 - In an inspection with a sample size of 12 and a...Ch. 36 - Prob. 37QTPCh. 36 - The average of averages of a number of samples of...Ch. 36 - Prob. 39QTPCh. 36 - Prob. 40QTPCh. 36 - Prob. 41SDPCh. 36 - Describe your thought on whether products should...Ch. 36 - Prob. 44SDPCh. 36 - Prob. 45SDPCh. 36 - Prob. 46SDPCh. 36 - Prob. 47SDPCh. 36 - Prob. 48SDPCh. 36 - Many components of products have a minimal effect...
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- A random sample of 83 reconstructed clay vessels from the Turquoise Ridge archaeological site indicated the standard deviation of diameters to be approximately 5.5 cm. How many more such clay vessels must be found and reconstructed to be 95% sure that the sample mean of diameters is within 1 cm of the population mean of all such reconstructed clay vessels at this archaeological site?arrow_forwardCounting principles. Show your complete solution and provide your explanations.arrow_forwardThe subject is Engineering Data Analysisarrow_forward
- One step in the manufacture of a certain metal clamp involves the drilling of four holes. In a sample of 100 clamps, the average time needed to complete this step was 80seconds and the standard deviation was 15 seconds. a.Find a 95% confidence interval for the mean time needed to complete the step. b.Find a 99.5% confidence interval for the mean time needed to complete the step. c.What is the confidence level of the interval (78,82)? d.How many clamps must be sampled so that a 95% confidence interval specifiesthe mean to within ±1 seconds? e. How many clamps must be sampled so that a 99.5% confidence interval specifies the mean to within ±1 seconds?arrow_forwardQuestions Finite Element Method (FEM) is a great tool to analytical engineering, mostly in mechanical Engineering and Nondestructive testing applications; Finite Element Method cannot exist without the model Data from Computer Aided Draughting. The connection of Computer aided Draughting (CAD) and Finite Element Analysis (FEA) cannot be under played in solving and making predictive analysis. Explain the following school of thought using following set of questions: • What is Finite Element Method? What is FEA? What is CAD? • Explain the types of Analyses that can carried on FEA and CAD 1 when combined together • How does CAD model data Affect FEA output? • Where or which branch/part of Mechanical Engineering does FEM best suit or most applicable and explain why • FEA can further enhance the design or production of machine part , list and explain the parameter that can be optimized. Also Explain the term design optimization. • What are the benefits of FEA? What is the Demerit of FEA? In…arrow_forwardWhich is more important to you– model accuracy, or model performance?arrow_forward
- The data shown in Table 1 are the deviations from nominal diameter for holes drilled in a carbon-fiber composite material used in aerospace manufacturing. The values reported are deviations from nominal in ten-thousandths of an inch. (a) Set up and R charts on the process. Is the process in statistical control? (b) Estimate the process standard deviation using the range method. (c) If specifications are at nominal ±100, what can you say about the capability of this process? Calculate the PCR Cp Table 1. Hole Diameter Data Sample Number X1 X2 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 19 20 -30 +50 0 -50 -10 -10 +20 -40 0 0 -30 0 +20 0 0 +70 0 +10 +40 +30 +30 +30 +10 0 +20 +50 +50 -20 +50 -60 +10 0 0 +20 +10 -20 -10 0 +20 X3 X4 X5 -30 +20 +30 +50 +40 +20 +30 +20 +30 +20 +30 0 +20 +10 +40 +10 +10 -10 +50 -10 -30 -10 +50 +40 0 +30 -10 0 +30 +30 -20 +50 +30 +10 +40 +20 0 +30 +10 +30 -20 +30 +30 +20 -20 +50 +20 +10 -40 +20 -20 -10 -10 0 -20 +10 +10 +50 0 +10arrow_forward4. The number of flaws in bolts of cloth in textile manufacturing is assumed to be Poisson distributed with a mean of 0.1 flaw per square meter. (a) What is the probability that there are two flaws in 1 square meter of cloth? (b) What is the probability that there is one flaw in 10 square meters of cloth? (c) What is the probability that there are no flaws in 20 square meters of cloth? (d) What is the probability that there are at least two flaws in 10 square meters of cloth?arrow_forwardBriefly define the following terms (a) Systematic errors, (b) gross errors and (c) random errors.arrow_forward
- What is an example of experimental uncertainty?arrow_forwardIn terms of conceptual framework, why does the standards reign over it? why is it more superior or powerful?arrow_forwardoutline the foundamental difference between errors that can be largely eliminateed and errors that can not be eliminatedarrow_forward
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