Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
12th Edition
ISBN: 9781259580093
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 9, Problem 4P
Summary Introduction
To draw: The run chart based on the given information using five-minute intervals.
Introduction: Run-chart refers to the graph that would display the recorded data based on the time sequence. It would form a line chart.
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Prepare 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?
8.
A teller at a drive-up window at a bank had the following service times (in minutes) for 20 randomly selected customers:
SAMPLE
1
2
3
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
Select a chart to monitor the central tendency of the process, what are the 3-sigma control limits using a mean chart? Keep 3 decimal places.
Select one:
a.
LCL = 4.212, UCL = 4.788
b.
LCL = 4.414, UCL = 4.586
c.
LCL = 4.245, UCL = 4.755
d.
None of the other options.
e.
LCL = 4.385, UCL = 4.615
Use and interpret control charts.
Chapter 9 Solutions
Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
Ch. 9.10 - Prob. 1RQCh. 9 - Prob. 1DRQCh. 9 - Prob. 2DRQCh. 9 - Prob. 3DRQCh. 9 - Prob. 4DRQCh. 9 - Prob. 5DRQCh. 9 - Prob. 6DRQCh. 9 - Prob. 7DRQCh. 9 - Prob. 8DRQCh. 9 - Prob. 9DRQ
Ch. 9 - Prob. 10DRQCh. 9 - Prob. 11DRQCh. 9 - Prob. 12DRQCh. 9 - Prob. 13DRQCh. 9 - List the steps of problem solving.Ch. 9 - Prob. 15DRQCh. 9 - Prob. 16DRQCh. 9 - Prob. 17DRQCh. 9 - What trade-offs are involved in deciding on...Ch. 9 - Prob. 2TSCh. 9 - Prob. 3TSCh. 9 - Prob. 1CTECh. 9 - Prob. 2CTECh. 9 - Prob. 3CTECh. 9 - Prob. 4CTECh. 9 - Make a check sheet and then a Pareto diagram for...Ch. 9 - Prob. 2PCh. 9 - Prob. 3PCh. 9 - Prob. 4PCh. 9 - Prob. 5PCh. 9 - Prob. 6PCh. 9 - Prob. 7PCh. 9 - Prepare a scatter diagram for each of these data...Ch. 9 - Prepare a flowchart that describes going to the...Ch. 9 - Prob. 10PCh. 9 - The county sheriffs department responded to an...Ch. 9 - Prob. 12PCh. 9 - Prob. 1.1CQCh. 9 - Prob. 2.1CQ
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- Sample No 1 2 3 4 5 Observations X₁ 0,5014 0,5021 0,5018 0,5008 0,5034 0,5024 0,5015 0,5041 0,5056 X X₂ X3 X4 0,5022 0,5009 0,5027 0,5018 0,5041 0,5032 0,5020 0,50285 0,5026 0,5035 0,5023 0,50255 0,502025 0,5034 0,5039 0,50425 R 0,0018 0,0021 0,0017 0,0026 0,0022arrow_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_forwardThe following given is the 911 call data. Call Time Call Time Call 1 15 16 1:38 1:40 2 3 4 5 678 8 9 10 11 12 13 14 000 NO 1:04 1:07 01:04 1:07 1:12 57679 17 Run Chart A 18 1:14 1:14 20 1:19 21 1:24 22 1:29 1:29 1:31 1:35 1:35 1:35 19 23 24 25 222226 27 28 1:44 1:47 1:48 01:29 1:48 1:48 Time 29 2:06 30 Time m m m m m O Run Chart B 31 32 33 34 1:53 1:56 2:00 2:02 2:02 2:04 41 2:05 42 35 36 a. Select the Run chart for the above 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. Run Chart A Run Chart B 37 38 899 39 40 2:08 2:10 2:12 2:12 01:54 2:13 2:13 2:14 2:14 2:15 2:15 2:15 2:15 2:15 Run Chart C 02:20 8642O 01:04 01:29 Time 01:54 - 02:20 10 2864NO 01:04 Run Chart C 01:29 Time 01:54+ 02:20arrow_forward
- The county sheriff’s department responded to an unusually large number of vehicular accidents along aquarter-mile stretch of highway in recent months. Prepare a cause-and-effect diagram for this problem.arrow_forwardhow to create gnatt chart using excel on the impletation process of new admit discharge patient and master patient index installation?arrow_forwardWhy is it necessary to include units when reportingscientific measurements?arrow_forward
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