Principles Of Operations Management
11th Edition
ISBN: 9780135173930
Author: RENDER, Barry, HEIZER, Jay, Munson, Chuck
Publisher: Pearson,
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Chapter 10, Problem 32P
Summary Introduction
To determine: The
Introduction: Sample size is required to determine the number of observations that are necessary to find the true cycle time.
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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 5 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 X-bar chart?
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144.77, 159.11
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5. The manager of Asombrado Bounty Office, Charles Badillo, estimates his employees are idle 25%of the time. With that problem, how many work samples are needed to consider within 3%accuracy and have 95.45% confidence level.
6. At ASP Micro Manufacturing, Inc. workers press semiconductor into predrilled slots on printed-circuit boards. Determine the normal time of the operation in seconds. The elemental motions for normal time used by the company are as follows:• Reach 6 inches for semiconductors 10.5 TMU• Grasp the semiconductors 8.0 TMU• Move semiconductor to printed-circuit board 9.5 TMU• Position semiconductor 20.1 TMU• Press semiconductor into slots 20.3 TMU• Move board aside 15.8 TMU
7. The semiconductor used in Costin Calculator has 5 components with the consistency of 90%, 95%,98%, 90%, and 99%, respectively. How reliable is one product of calculator?
Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) for this problem.
Ross Hopkins is attempting to monitor a filling process that has an overall average of 715 mL. The average range R is 6 mL.
For a sample size of 10, the control limits for 3-sigma x chart are:
Upper Control Limit (UCL;) = mL (round your response to three decimal places).
Lower Control Limit (LCL-) = mL (round your response to three decimal places).
The control limits for the 3-sigma R-chart are:
Upper Control Limit (UCLR) = mL (round your response to three decimal places).
Lower Control Limit (LCLR) = mL (round your response to three decimal places).
Chapter 10 Solutions
Principles Of Operations Management
Ch. 10 - Prob. 1EDCh. 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. 9DQ
Ch. 10 - Prob. 10DQCh. 10 - Prob. 11DQCh. 10 - Prob. 12DQCh. 10 - Prob. 13DQCh. 10 - Prob. 14DQCh. 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 - Prob. 18PCh. 10 - Prob. 19PCh. 10 - Prob. 20PCh. 10 - Prob. 21PCh. 10 - Prob. 22PCh. 10 - Virginia College promotes a wide variety of...Ch. 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. 39PCh. 10 - Prob. 40PCh. 10 - Prob. 41PCh. 10 - Prob. 42PCh. 10 - Prob. 44PCh. 10 - Prob. 1CSCh. 10 - Prob. 2CSCh. 10 - Prob. 3CSCh. 10 - Prob. 4CSCh. 10 - Prob. 1.1VCCh. 10 - Prob. 1.2VCCh. 10 - Prob. 1.3VCCh. 10 - Prob. 2.1VCCh. 10 - Prob. 2.2VCCh. 10 - Prob. 2.3VCCh. 10 - Prob. 2.4VC
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- How to Work sampling compared with stopwatch time study?arrow_forward20. A teller at a drive-up window at a bank had the following service times (in minutes) for 20 randomly Chapter Ten Quality Control selected customers. SAMPLE 1 4. 4.5 4.6 4.5 4.7 4.2 4.5 4.6 4.6 4.2 4.4 4.4 4.8 4.3 4.7 4.4 4.5 4.3 4.3 4.6 4.9 a. Determine the mean of each sample. b. If the process parameters are unknown, estimate its mean and standard deviation. c. Estimate the mean and standard deviation of the sampling distribution. d. What would three-sigma control limits for the process be? What alpha risk would they provide? e. What alpha risk would control limits of 4.14 and 4.86 provide? f. Using limits of 4.14 and 4.86, are any sample means beyond the control limits? If so, which one(s)? g. Construct control limits? If so, which one(s)? ontrol charts for means and ranges using Table 10.3. Are any samples beyond the h. Explain why the control limits are different for means in parts d and g. i. If the process has a known mean of 4.4 and a known standard deviation of .18, what…arrow_forwardQuestion 1 This Test: 60 pts possible Submit Test Daily high temperatures in St. Louis for the last week were as follows: 92, 92, 94, 94, 95, 88, 95 (yesterday). a) The high temperature for today using a 3-day moving average = degrees (round your response to one decimal place). b) The high temperature for today using a 2-day moving average = degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place). %3D d) The mean squared error for the 2-day moving average = degrees (round your response to one decimal place). e) The mean absolute percent error (MAPE) for the 2-day moving average = % (round your response to one decimal place).arrow_forward
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- Observations (mins) Day 1 2 3 4 5 6 1 21 30 22 25 31 30 2 23 29 17 32 28 31 3 22 28 33 26 32 31 4 33 30 22 35 29 30 5 35 27 36 28 31 27 6 27 32 30 35 32 32 7 35 32 28 35 35 27 8 26 30 31 37 39 31 9 36 36 34 39 31 25 10 26 42 35 35 27 37 The patient surveys indicate that they are willing to wait between 15 and 35 minutes before seeing Dr. Patel. Calculate the process capability index and capability ratio at the three-sigma level and interpret your results.arrow_forwardK Claudine Soosay recorded the following times assembling a watch: Observation No. 1234567co 8 Time (minutes) 0.12 0.10 0.11 0.11 0.15 0.10 0.10 0.10 Observation No. 9 10 11 12 13 14 15 16 Time (minutes) 0.11 0.08 0.11 0.10 0.10 0.11 0.14 0.08arrow_forwardA total of 300 observations of Bob Ramos, anassembly-line worker, were made over a 40-hour workweek. Thesample also showed that Bob was busy working (assembling theparts) during 250 observations.a) Find the percentage of time Bob was working. b) If you want a confidence level of 95%, and if {3% is an accept-able error, what size should the sample be? c) Was the sample size adequate?arrow_forward
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