OPERATIONS MANAGEMENT (LL) W/CONNECT
14th Edition
ISBN: 9781265502942
Author: Stevenson
Publisher: MCG CUSTOM
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Chapter 10, Problem 2P
(a)
Summary Introduction
To determine: The upper and lower control limits that include roughly 97% of the sample means when an automatic machine filled a one-liter bottle of cola with a mean of 1 liter, a standard deviation of 0.1 liters, and samples of 25 observations are used to monitor the output.
Introduction: To monitor the process dispersion, range control charts are used and the mean control limit charts are based on a
(b)
Summary Introduction
To determine: Whether the process is in control at the sample means: 1.005, 1.001, .998, 1.002, .995, .999 when an automatic machine filled a one-liter bottle of cola with a mean of 1 liter, a standard deviation of 0.1 liters and samples of 25 observations are used to monitor the output.
Introduction: To monitor the process dispersion, range control charts are used and the mean control limit charts are based on a normal distribution.
(c)
Summary Introduction
To determine: Whether the process is in control at sample means of 1.003, .999, .997, 1.002, .998, and 1.004. when an automatic machine filled a one-liter bottle of cola with a mean of 1 liter, a standard deviation of 0.1 liters and samples of 25 observations are used to monitor the output.
Introduction: To monitor the process dispersion, range control charts are used and the mean control limit charts are based on a normal distribution.
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Students have asked these similar questions
An automatic filling machine is used to fill 1-liter bottles of cola. The machine’s output is approximately normal with a mean of 1.0 liter and 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% of the sample means when the process is in control. Using Appendix B, Table A to find the value of Z corresponding to the mean control limits.
A Quality Analyst wants to construct a control chart for determining whether three machines, all producing
the same product, are under control with regard to a particular quality variable. Accordingly, he sampled four
units of output from each machine, with the following results:
Machine
Measurements
#1
17
15
15
17
#2
16
25
18
25
# 3
23
24
23
22
What is the estimate of the process mean for whenever it is under control?
What is the sample average range based upon this limited sample?
What are the x-bar chart upper and lower control limits?
Factors for Computing Control Chart Limits (3 sigma)
Auto pistons at Wemming Chung's plant in Shanghai are produced in a forging process, and the diameter is a critical factor that must be controlled. From sample sizes of 10 pistons produced each day, the mean and the range of this diameter have been as follows:
Day
Mean x
(mm)
Range R
(mm)
1
156.9
4.2
2
153.2
4.6
3
153.6
4.1
4
155.5
5.0
5
156.6
4.5
Part 4 c) What are the (UCLx) and (LCLx) using 3-sigma?
(UCLx) = mm (round your response to two decimal places).
(LCLx) = mm
Chapter 10 Solutions
OPERATIONS MANAGEMENT (LL) W/CONNECT
Ch. 10.2 - Prob. 1.1RQCh. 10.2 - Prob. 1.2RQCh. 10.4 - Prob. 1.1RQCh. 10.4 - Prob. 1.2RQCh. 10 - Prob. 1DRQCh. 10 - Prob. 2DRQCh. 10 - Prob. 3DRQCh. 10 - Prob. 4DRQCh. 10 - Prob. 5DRQCh. 10 - Prob. 6DRQ
Ch. 10 - Prob. 7DRQCh. 10 - Prob. 8DRQCh. 10 - Prob. 9DRQCh. 10 - Prob. 10DRQCh. 10 - Prob. 11DRQCh. 10 - Prob. 12DRQCh. 10 - Prob. 13DRQCh. 10 - Prob. 14DRQCh. 10 - Prob. 15DRQCh. 10 - Prob. 16DRQCh. 10 - Prob. 1TSCh. 10 - Prob. 2TSCh. 10 - Prob. 3TSCh. 10 - Prob. 1CTECh. 10 - Prob. 2CTECh. 10 - Prob. 3CTECh. 10 - Prob. 4CTECh. 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 - A production process consists of a three-step...Ch. 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. 1.1CQCh. 10 - Prob. 2.1CQCh. 10 - Prob. 2.2CQCh. 10 - Prob. 2.3CQCh. 10 - Prob. 2.4CQ
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