EBK OM
6th Edition
ISBN: 9781305888210
Author: Collier
Publisher: YUZU
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Question
Chapter 16, Problem 4PA
Summary Introduction
Interpretation: Control chart using the Excel
Concept Introduction: x-bar chart is used to measure the statistical data of the industry. It is also one type of shewhart chart. The main process of the x-bar chart is to invigilate the arithmetic means of the given samples of the constant size.
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Students have asked these similar questions
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
The weights of boxes of Oat Flakes within a large production lot are sampled each hour. Managers want to set control limits that include 99.73% of the sample means, and given is the population (process) standard deviation, which is 1.13.
You are in charge of randomly selecting four boxes each hour, for three hours. The data you collected is located in the table below:Using an Xbar Chart, what are the upper and lower control limits?
Sample
Avg. of 4 boxes
1
16.8
2
17.1
3
17.2
9. 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, 0.0
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
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- 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_forwardHi, I need help solving for the missing value in part B. Thank you! (Note: Table S6.1 is shown in the 'Definition' box popup.)arrow_forward
- Which cusum chart can be used to monitor process variability? a. The two-sided cusum with Ci+ and Ci- . b. The scale cusum with vi c. None of those listed d. The one-sided with Ci+ or Ci- . e. the standardized cusum with yiarrow_forwardThe overall average of a process you are attemptingto monitor at Feryal Erhun Enterprises is 50 units. The averagerange is 4 units. The sample size you are using is 11 = 5.a) What are the upper and lower control limits of the 3-sigmamean chart?b) What are the upper and lower control limits of the 3-sigmarange chart?arrow_forwardHi, I need help solving for part A. Thank you! (Note: Table S6.1 is shown in the 'Definition' box popup.)arrow_forward
- Specifications for a part for a 3-D printer state that the part should weigh between 24 and25 ounces. The process that produces the parts has a mean of 24.5 ounces and a standard deviation of .2 ounce. The distribution of output is normal. What percentage of parts will not meet the weight specs? Within what values will 95.44 percent of the sample means of this process fall if samples of n = 16 are taken and the process is in control (random)? Using the control limits from part b, would the following sample means be in control? 24.52, 24.53, 24.44, 24.51, 24.41, 24.39 An automatic filling machine is used to fill 1-liter bottles of cola. The machine’s output is approxi- mately normal with a mean of 1.0 liter and a standard deviation of .01 liter. Output is monitored using means of samples of 25 observations. Determine upper and lower control limits that will include roughly 97 percent of the sample means when the process is in control. Given the following sample means—1.005,…arrow_forwardHi, I need help solving this problem. Thank you!arrow_forwardDo control charts assist in monitoring quality as conformance or quality as improvement?arrow_forward
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