EBK OM
6th Edition
ISBN: 9781305888210
Author: Collier
Publisher: YUZU
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Chapter 16, Problem 7PA
Summary Introduction
Interpretation: AP chart is to be constructed for the inspection of insurance claims process and control limits are to be calculated to identify special cases.
Concept Introduction: P chart is a type of control chart used in statistical quality control, which depicts the proportion of nonconformities in a sample. It monitors the stability of a process over time and the effect of process control.
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8
A pizza delivery service wants to track their delivery times. They take eight samples of four deliveries and record the following data. What are the upper and lower control limits of their X-bar chart? (Note: Although it looks similar, the data in the table below is different from the data in the table relating to the UCL and LCL for the R chart.)
Sample #
1
2
3
4
5
6
7
8
Item #1
21.1
20.2
24.6
22.6
23.7
20.9
22.4
20.7
Item #2
22.2
20.6
20
20.7
24.1
23.9
24.6
24.4
Item #3
23.0
24.5
23.2
23.0
20.7
22.8
23.0
22.8
Item #4
20.0
23.5
25.5
25.0
20.7
23.2
23.3
24.5
Sum
86.3
88.8
93.3
91.3
89.2
90.8
93.3
92.4
Group of answer choices
25.2, 20.0
25.4, 20.0
23.9, 21.3
24.1, 21.1
a professor records the number of students who complains each week throughout the semester. if the class size is forty students, what are3 sigma control limits class? Construct a control chart and interpret the data.
Do control charts assist in monitoring quality as conformance or quality as improvement?
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- Google Chrome mod/quiz/attempt.php?attempt=1849384&cmid=845634&page=D5 RNING SYSTEM (ACADEMIC) ations Management Spring21 Control charts for variables help to measure non-conformance in the process. O a. FALSE O b. TRUE IS PAGE MAG241C 1500R 144 GAMING MONITORarrow_forwardProduction phase After the pre-production phase, the product entered the production phase without introducing any changes in the process. Since it seemed to be stable SPC was not performed for several months, with process stability and variability being assessed by the level of nonconformities it it produced. However, after a time, an increasing number of customer complaints due to products supplied outside the specification/. The Quality Engineer decided to take 20 samples from the process with regular spacing between samples. Each sample is made up of 3 parts. The data obtained for the highlighted dimension samples are presented in Table 2 below: measurements in mm for critical sample dimension number 1 2 3 4 5 6 7 8 9 Observations 2 3 50.767 1 50.972 50.785 50.956 50.97 50.914 51.066 50.933 51.086 50.917 51.081 51.092 50.948 50.828 51.054 50.859 51.083 50.789 50.984 50.961 50.943 51.013 51.02 50.734 50.898 50.956 50.885 51.004 50.984 50.839 Table 2: Measurements in mm for critical…arrow_forward9. A pizza delivery service wants to track their delivery times. They take eight samples of four deliveries and record the following data. What are the upper and lower control limits of their R-chart? (Note: Although it looks similar, the data in the table below is different from the data in the table relating to the UCL and LCL for the X-bar chart.) Sample # 1 2 3 4 5 6 7 8 Item #1 21.1 20.2 24.1 22.6 21.2 20.0 22.0 20.2 Item #2 21.7 20.6 21.0 22.1 24.1 24.2 24.6 24.9 Item #3 23.5 24.9 23.2 23.0 20.6 22.8 23.4 22.8 Item #4 20.0 23.5 24.8 25.0 20.7 23.2 23.3 24.5 Group of answer choices 7.0, 0.5 9.3, 0.0 8.5 0.0 10.1, 0.0arrow_forward
- 4. Problem 8.29 The number of imperfections in bond paper produced by a paper mill is observed over a period of several days. Table 8-28 shows the area inspected and the number of imperfections for 25 samples. Construct a control chart for the number of imperfections per square meter. Revise the limits, if necessary, assuming special causes for the out-of-control points. TABLE 8-28 Area Area Sample Inspected (m?) Imperfections Sample Inspected (m²) Imperfections 1 150 6 14 300 8 2 100 8 15 300 12 3 200 5 16 200 6 4 150 4 17 150 4 250 10 18 200 7 6. 100 11 19 150 14 7 150 20 100 4 8 200 5 21 100 8 9 300 10 22 200 10 250 10 23 300 12 11 100 24 250 7 12 200 4 25 200 5 13 250 12arrow_forwardno chatgpt use Pressure transdusers is more accurate than pressure gauges Select one: True Falsearrow_forwardControl charts for X-bar and R, using a subgroup size of 5, are to be applied to control thecritical dimension of a certain manufacturing process. Specifications call for a nominal dimension of1,250.000 + 0.050 mm. The process is believed to have a σ of 0.015 mm Determine appropriate control limits for the X-bar and R charts. a) After 12 subgroups have been drawn and X-bar and R plotted on the charts, a computation of X-double bar give 1,250.015. b1) What is the probability that a value of X-bar will fall within the limits if this is the true value of the mean setting? b2) What is the probability that all 12values fall within the control limits? b) Make the necessary calculations to determine if the process can meet specifications by solvingfor Cp, Cpu, CpL, Cpk . Assume a normal distribution of product output. Illustrate how the processwould look like relative to the result of the computations of the process capability analysis.arrow_forward
- 27. The following scenarios are where control charts are used, EXCEPT Group of answer choices Assessing the root cause of the identified issue or problem Assessing the amount of variance in actual versus budgeted cost Assessing number of casualties/deaths in organization Assessing number of defects in inventories None of the choicesarrow_forwardFrom the list below of the data being collected, identify which data would be appropriate for X-bar and R control charts: Select ALL correct answers. Fluid ounces in a bottle of detergent Temperature of the fryer oil at the Lay's potato chip plant Number of mistakes per article in a newspaper Percentage of flights that were not on-time for an airline Pizzas not made to order for a local pizzeria Weight of a bag of chips. Density of a golf ball Percentage of patients that had a medication error during their hospital stay SECOND PART From the list below of the data being collected, identify which data would be appropriate for a P chart: Select ALL correct answers. Fluid ounces in a bottle of detergent Temperature of the fryer oil at the Lay's potato chip plant Number of articles with mistakes per every 100 sampled at a newspaper Percentage of flights that were not on-time for an airline Pizzas not made to order for a local pizzeria…arrow_forwardA professor records the number of students who complain each week throughout the semester. If the class size is forty students, what are 3 - sigma control limits for this class? Construct a control chart and interpret the data. Week Complaints Number 1. 5 2. 2 3. 7 4. 1 5. 3 6. 2 7. 8 8. 1 9. 3 10. 5 11. 4 12. 6 13. 3 14. 1 15. 4arrow_forward
- edu.om/mod/quiz/attempt.php?attempt3D1462324&cmid%3D717476&page%-D9 ng System (Academic) ations Management || fall20 The control chart used to monitor the process mean is known as Select one: of O a. R-chart stion O b. Grant chart O C.x-bar-chart O d. p-chart O e. c-chart s pagearrow_forwardA distributor buys Tires from manufacturers. In his store, Phillip Johnson, the supplier quality manager for the distribution company, selects a tire at random which was received in the warehouse the prior day. Small imperfections (minor wears in trade, uneven surfaces, etc) are counted. Recent data show an average of six imperfections (nonconformities) in each sample. Using the formulas for a c chart, calculate the control limits and centerline for this situation. If management wants a process capability of five nonconformities per sample, will this supplier be able to meet that requirement?arrow_forwardYou work for Raider Data Systems where thousands of insurance records are entered by clerks each day for a variety of client firms. You are in charge of setting control limits to include 99.73% of the random variation in the data entry process when it is in control. Samples that you collected from 20 employees are shown below. You carefully examine 100 records entered by each employee and count the number of errors entered by each clerk. You also compute the proportion defective in each sample. Using a p-chart, what are the upper and lower control limits? Sample Errors Made Proportion Defective 1 4 0.04 2 5 0.05 3 6 0.06 4 3 0.03 5 8 0.08arrow_forward
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