EBK PRODUCTION AND OPERATIONS ANALYSIS
7th Edition
ISBN: 9781478628385
Author: Olsen
Publisher: WAVELAND PRESS (ECONTENT)
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Question
Chapter 12.10, Problem 38P
Summary Introduction
Interpretation:
A double sampling plan for CDs that achieves
Concept Introduction:
Probability Distribution Function is a likelihood of an event to occur for discrete random variables. Graphically, it shows how likely variables will fall under the probability area.
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Arana is a company that produces homemade Rotini pasta. They use statistical process control to monitor the
manufacturing process. The company collects five samples, each containing six packs of pasta. Below is the sample
data, but the standard deviation of the process output is unknown. If an R chart is created using three-sigma limits
(i.e., z = 3) to monitor the variability of products, what would be the upper control limit for this R chart?
Sample 1
Sample 2
Sample 3
Pack 1
452.3
451.6
448.6
Sample 4
454.7
Sample 5 448.9
7.614
9.328
11.653
13.427
Pack 2
452.8
451.2
455.6
451.7
453.4
Pack 3
456
454.6
456.5
451
456.7
Pack 4
457.2
455.3
451.9
452.6
456.3
Pack 5
457.8
452.2
455.6
454.7
452.4
Pack 6
451.8
451.9
448.3
458.4
456
At Isogen Pharmaceuticals, the filling process for its asthma inhaler is set to dispense
170
milliliters (ml) of steroid solution per container. The average range for a sample of
4
containers is
5
ml. Use the accompanying table to establish control limits for sample means and ranges for the filling process.
Click the icon to view the table of factors for calculating three-sigma limits for the
x-chart
and R-chart.
The
UCLR
equalsz____________ml and the
LCLR
equals _________________ml. (Enter your responses rounded to two decimal places.)
How many ppm defective parts would be expected in a +/- 4 sigma normally distributed unstable process? Assume the mean shifted by +/- 1.5σ from the target.
Chapter 12 Solutions
EBK PRODUCTION AND OPERATIONS ANALYSIS
Ch. 12.1 - Prob. 2PCh. 12.1 - Prob. 3PCh. 12.1 - Prob. 4PCh. 12.1 - Prob. 5PCh. 12.1 - Prob. 6PCh. 12.2 - Prob. 7PCh. 12.2 - Prob. 8PCh. 12.2 - Prob. 9PCh. 12.2 - Prob. 10PCh. 12.2 - Prob. 11P
Ch. 12.2 - Prob. 12PCh. 12.2 - Prob. 13PCh. 12.3 - Prob. 14PCh. 12.3 - Prob. 15PCh. 12.3 - Prob. 16PCh. 12.3 - Prob. 17PCh. 12.4 - Prob. 18PCh. 12.4 - Prob. 19PCh. 12.4 - Prob. 20PCh. 12.4 - Prob. 21PCh. 12.5 - Prob. 22PCh. 12.6 - Prob. 23PCh. 12.6 - Prob. 24PCh. 12.6 - Prob. 25PCh. 12.6 - Prob. 26PCh. 12.6 - Prob. 27PCh. 12.6 - Prob. 28PCh. 12.9 - Prob. 29PCh. 12.9 - Prob. 30PCh. 12.9 - Prob. 31PCh. 12.9 - Prob. 32PCh. 12.9 - Prob. 33PCh. 12.10 - Prob. 34PCh. 12.10 - Prob. 35PCh. 12.10 - Prob. 37PCh. 12.10 - Prob. 38PCh. 12.10 - Prob. 39PCh. 12.10 - Prob. 40PCh. 12.11 - Prob. 41PCh. 12.11 - Prob. 42PCh. 12.11 - Prob. 43PCh. 12.11 - Prob. 44PCh. 12.12 - Prob. 46PCh. 12.12 - Prob. 47PCh. 12.12 - Prob. 48PCh. 12 - Prob. 49APCh. 12 - Prob. 50APCh. 12 - Prob. 51APCh. 12 - Prob. 52APCh. 12 - Prob. 53APCh. 12 - Prob. 54APCh. 12 - Prob. 55APCh. 12 - Prob. 57APCh. 12 - Prob. 58APCh. 12 - Prob. 59APCh. 12 - Prob. 60APCh. 12 - Prob. 61APCh. 12 - Prob. 62APCh. 12 - Prob. 63APCh. 12 - Prob. 64APCh. 12 - Prob. 65APCh. 12 - Prob. 66APCh. 12 - Prob. 67APCh. 12 - Prob. 68APCh. 12 - Prob. 69APCh. 12 - Prob. 70AP
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