Operations Management
11th Edition
ISBN: 9780132921145
Author: Jay Heizer
Publisher: PEARSON
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Chapter 10, Problem 26P
Summary Introduction
To determine: The
Introduction: The sample size refers to the number of observations that are necessary to determine the cycle time. The major goal of sample size is to determine inferences about the population from the observations.
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In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a
total of 5 samples are taken each having 4 observations regarding the thickness of fabric in measured in millimeters.
In a particular hour, the sample means (X-bar) are noted to be: 156.46, 199.62, 189.31, 102.22, and112.09
respectively. In the same sample, the corresponding ranges are: 11.97, 12.17, 13.94, 11.86, and 11.83 respectively.
What are the lower and upper control limits for the R chart?
O a. 0,28.17
O b. 0,31.17
OC None is correct
O d. 0,24.71
O e. 0,30.47
Of. 0,29.17
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A time study analyst wants to estimate the time required to perform a certain job. A preliminary study yielded a mean of 6.4 minutes and a standard deviation of 2.1 minutes. The desired confidence is 95 percent. How many observations will he need (including those already taken) if the desired maximum error is:a. ± 10 percent of the sample mean?b. One-half minute?
please answer within 30 minutes.
Chapter 10 Solutions
Operations Management
Ch. 10 - Prob. 1DQCh. 10 - Prob. 2DQCh. 10 - Prob. 3DQCh. 10 - Prob. 4DQCh. 10 - Prob. 5DQCh. 10 - Prob. 6DQCh. 10 - Prob. 7DQCh. 10 - Prob. 8DQCh. 10 - Prob. 9DQCh. 10 - Prob. 10DQ
Ch. 10 - Prob. 11DQCh. 10 - Prob. 12DQCh. 10 - Prob. 13DQCh. 10 - Prob. 14DQCh. 10 - Prob. 1PCh. 10 - Draw an activity chart for a machine operator with...Ch. 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 - Prob. 18PCh. 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. 30PCh. 10 - Prob. 31PCh. 10 - Prob. 32PCh. 10 - Prob. 33PCh. 10 - Prob. 34PCh. 10 - Prob. 35PCh. 10 - Prob. 36PCh. 10 - Prob. 37PCh. 10 - Prob. 38PCh. 10 - Prob. 1CSCh. 10 - Prob. 2CSCh. 10 - Prob. 3CSCh. 10 - Prob. 4CSCh. 10 - Prob. 1VCCh. 10 - Prob. 2VCCh. 10 - Prob. 3VCCh. 10 - Prob. 4VC
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- . Given the following information, determine the sample sizeneeded if the standard time estimate is to be within 5 percent ofthe true mean 97 percent of the time. Work Element Standard Deviation (minutes) Mean Observed Time (minutes)l 0.20 1.102 0.10 0.803 0.15 0.904 0.10 1.00arrow_forwardWhat is the answer of this question ?arrow_forwardFour samples of three observations each have been taken, with actual measurements (in centimetres) shown below. Construct three sigma mean and range charts, and determine if corrective action is needed. Sample 1 12.3 12.2 12.1 2 11.9 12.2 12.2 3 12.0 12.2 11.8 4 12.1 11.8 11.8arrow_forward
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- The Money Pit Mortgage Company is interested in monitoring the performance of the mortgage process. Fifteen samples of five completed mortgage transactions each were taken during a period when the process was believed to be in control. The times to complete the transactions were measured. The means and ranges of the mortgage process transaction times, measured in days, are as follows: Sample Mean Range ew an example 1 2 16 12 7 12 Get more help. 3 6 5 4 5 6 7 8 9 15 10 10 13 14 11 9 10 16 13 16 11 Subsequently, samples of size 5 were taken from the process every week for the next 10 weeks. The times were measured and the following results obtained: D Sample Mean Range 16 9 8 17 12 12 18 19 13 7 7 5 20 15 13 MacBook Pro Click the icon to view the table of factors for calculating three-sigma limits for the x-chart and R-chart. a. Construct the control charts for the mean and the range, using the original 15 samples. Set up the R-chart by specifying the center line and three-sigma control…arrow_forward4arrow_forwardPrepare a run diagram for this emergency call data. Use five-minute intervals (i.e., count the calls received in each five- minute interval. Use intervals of 0-4, 5-9, etc.). Note: Two or more calls may occur in the same minute; there were three operators on duty this night. What can you conclude from the run chart? Call Time Call Time Call Time 1 2 3 4 5 6 7 8 9 10 11 1:03 1:06 1:09 1:11 1:12 1:17 1:21 1:27 1:28 1:29 1:31 12 13 14 15 16 17 18 19 20 21 22 1:36 1:39 1:42 1:43 1:44 1:47 1:48 1:50 1:52 1:53 1:56 23 24 25 26 27 28 29 30 31 32 33 1:56 2:00 2:00 2:01 2:02 2:03 2:03 2:04 2:06 2:07 2:08 Call 34 35 36 37 38 39 40 41 42 Time 2:08 2:11 2:12 2:12 2:13 2:14 2:14 2:16 2:19 a. re-organize the above data for your analysis (using five-minute intervals; 0-4, 5-9, etc) b. Provide your diagram that shows the number of emergency calls by eacn five-minute intervals from 1am to 2:20am c. what can you conclude from the chart?arrow_forward
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