Mylab Operations Management With Pearson Etext -- Access Card -- For Operations Management: Sustainability And Supply Chain Management (13th Edition)
13th Edition
ISBN: 9780135225899
Author: Jay Heizer, Barry Render, Chuck Munson
Publisher: PEARSON
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Chapter 10, Problem 31P
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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13-2. (Pareto Chart & Fishbone Diagram). Smith, Schroeder, and Torn (SST) is a short-haul household furniture moving company. SST"s labor force, selected from the
local community college football team, is temporary and part-time. SST is concerned with recent complaints, as tabulated on the following tally sheet.
Complaint
Broken glass
Delivered to wrong address
Furniture rubbed together while on truck
Late delivery
Late arrival for pickup
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Missing items
Nicks and scratches from rough handling /////
Soiled Upholstery
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Tally
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a. Use a Pareto chart to identify the "few vital" complaint problems.
b. Use a cause-and-effect diagram to identify potential causes of the complaints
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?
Bank manager Art Hill wants to determine the percentageof time that tellers are working and idle. He decides touse work sampling, and his initia l estimate is that the tellers a reid le 15% of the time. How many observations should Hill take tobe 95.45% confident that the results wi ll not be more than ± 4%from the true result?
Chapter 10 Solutions
Mylab Operations Management With Pearson Etext -- Access Card -- For Operations Management: Sustainability And Supply Chain Management (13th Edition)
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. 2PCh. 10 - Draw an activity chart for a machine operator with...Ch. 10 - Prob. 4PCh. 10 - Prob. 5PCh. 10 - Prob. 6PCh. 10 - Prob. 1PCh. 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. 34PCh. 10 - Prob. 35PCh. 10 - Prob. 36PCh. 10 - Prob. 37PCh. 10 - Prob. 33PCh. 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. 2.1VCCh. 10 - Prob. 2.2VCCh. 10 - Prob. 2.3VCCh. 10 - Prob. 2.4VCCh. 10 - Prob. 1.1VCCh. 10 - Prob. 1.2VCCh. 10 - Prob. 1.3VC
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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_forwardPlease no written by hand solutions In a recent commercial, a weight-loss company featured testimonials touting their “miracle shake” nutritional supplement. Satisfied Customer Time (days) Weight loss (kg) Sarah, from Toronto 30 11 Zack, from New York 45 16 Eli, from Detroit 90 36 Yvette, from Montreal 10 4.5 Lynn, from San Diego 30 8.5 Kulwinder, from Vancouver 60 20 The commercial claims that the miracle shake will provide guaranteed weight loss. a) Use this data to determine the correlation between time on the diet and weight loss (either the Spearman's Rank Coefficient, or the PPMCC, but state which you are calculating. You are welcome to use a spreadsheet). b) Does the correlation imply that the miracle shakes cause weight loss? Identify any possible outliers.arrow_forward
- What are the main uses of time study information?arrow_forwardWork measurement as a source of job standards includes time study and work sampling, but not the use of historical data. Question 17 options: True Falsearrow_forwardRefer 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).arrow_forward
- See images for question details.arrow_forwardQUESTION 18 Hank Kolb, the quality assurance manager is assessing the capability of a process that puts pressurized grease in an aerosol can. For the pressure of aerosol cans, the process mean is 78.24 and the process standard deviation is 1.38, and the upper and lower customer specifications are 82.50 and 77.50 respectively. Hank considers adjusting the process mean to improve its process capability. Then what is the maximum increase in Cpk he can achieve by adjusting the process mean? (Round to 2 decimal places)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_forward
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