Manufacturing Engineering & Technology
7th Edition
ISBN: 9780133128741
Author: Serope Kalpakjian, Steven Schmid
Publisher: Prentice Hall
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Chapter 36, Problem 14RQ
To determine
Explain the difference between (a) probability and reliability and (b) robustness and reliability?
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Chapter 36 Solutions
Manufacturing Engineering & Technology
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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- What is difference between error terms (disturbance) and residual? Demonstrate and explainarrow_forwardWhich is more important to you– model accuracy, or model performance?arrow_forwardThe shear modulus, G, of a material can be determined by applying a torque, T, on a cylindrical material specimen and measuring the angular twist, 0. The modulus can then be calculated from: G the specimen radius and length, respectively, The relative uncertainty in each measured variable (L. T, t. 0. R) is + 3.7% 3LT where R and L are %3D 2 Ree What is the total relative uncertainty in G?arrow_forward
- (a) A very important component of a system has a mean time between failures of 100 hr and a mean time to repair of 10 hr. Determine the inherent availability of the system. (b) If the equipment in Q7 (c i) above is required to meet an inherent availability requirement of 0.985 and a mean time between failures of 100 hr. Calculate the permissible mean time to repair and if the system as a mean of the time intervals between corrective maintenance actions of 900 hrs and the sum of the mean corrective maintenance time intervals including supply downtime and administrative down time of 10 hrs Determine the operational availability of the systemarrow_forwardThe subject is Engineering Data Analysisarrow_forwardDefine, in a few words and briefly, the terms below: A. Safety Factor or Coefficient B. Merit figure C. Propagation of Uncertainty D. Objective responsibility E. Reliabilityarrow_forward
- The rapid progress of engineering design and information technology has caused difficulties in analyzing system reliability. Because of the increased complexity in system reliability structure (component/subsystem interfaces), many unexpected failure modes could occur, and their behaviors are interdependent. At a system’s design and development stage, the main challenge in analyzing a complex system is the failure uncertainty introduced by the incomplete knowledge of the system. This makes it hard to decompose system reliability into subsystem/component reliability in a deterministic manner, such as series or parallel systems. As a result, some common reliability analysis tools such as fault tree (FT) and reliability block diagram (RBD) become inadequate. Do you agree, why or why not? Are there any other approaches to system reliability assessment beside these tools at the early system’s design and development stage (what are these approaches)?arrow_forwardFord Motor Company announced in 2018 that it was recalling more than 240,000 cars and SUVs for defects in the suspension and transmission systems (b) As a quality reliability engineering student, what do you think has gone wrong?(c) Suggest possible measures to be instituted to avoiding this challenge in the future. PLEASE ANSWER ALLarrow_forward(b) 2000 light bulbs were tested by the manufacturer. After 500 hours of testing, it was found that 5 out of all the light bulbs subjected to testing have failed. Strict quality control has been implemented to eliminate premature failures. Assume the light bulb has a constant failure rate. What is the failure rate, Mean Time Before Failure (MTBF) and the reliability of the light bulb after 500 hours? l vangarrow_forward
- what is gross error? how to eliminate it gross errors?arrow_forwardEach main bearing cap in an engine contains four bolts. The bolts are selected at random,without replacement, from a parts bin that contains 30 bolts from one supplier and 70 boltsfrom another.(a) What is the probability that a main bearing cap contains all bolts from the samesupplier?arrow_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_forward
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