Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)
Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)
12th Edition
ISBN: 9780134741062
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Chapter 3, Problem 13P

(a)

Summary Introduction

Interpretation:

To design a p-chart showing upper and lower control limits.

Concept Introduction:

P-charts are used to identify the defective items, from a group of items. It is a form of control chart which is used to analyze the proportion of nonconforming units into a specified sample.

(b)

Summary Introduction

Interpretation:

Tax information process in statistical control.

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The IRS is concerned with improving the accuracy of tax information given by its representatives over the telephone. Previous studies involved asking a set of 25 questions of a large number of IRS telephone representatives to determine the proportion of correct responses. Historically, the averageproportion of correct responses has been 72 percent. Recently, IRS representatives have been receiving more training. On April 26, the set of 25 tax questions were again asked of 20 randomly selected IRS telephone representatives. The numbers of correct answers were 18, 16, 19, 21, 20, 16,21, 16, 17, 10, 25, 18, 25, 16, 20, 15, 23, 19, 21, and 19. a. What are the upper and lower control limits for the appropriate p-chart for the IRS? Use z = 3. b. Is the tax information process in statistical control?
Designing an x -Chart Using the Process Standard DeviationThe Sunny Dale Bank monitors the time required to serve customers at the drive-through window because it is an important quality factor in competing with other banks in the city. After analyzing the data gathered in an extensive study of the window operation, bank management determined that the mean time to process a customer at the peak demand period is 5 minutes, with a standard deviation of 1.5 minutes. Management wants to monitor the mean time to process a customer by periodically using a sample size of six customers. Assume that the process variability is in statistical control. Design an x-chart that has a type I error of 5 percent. That is, set the control limits so that there is a 2.5 percent chance a sample result will fall below the LCL and a 2.5 percent chance that a sample result will fall above the UCL. After several weeks of sampling, two successive samples came in at 3.70 and 3.68 minutes, respectively. Is the…
com sells books, videos, DVDs, and CDs through its internet Web site. The company ships thousands of orders each day from seven national distribution centers. BooksCDs.com wants to monitor the quality of its distribution process, specifically the number of “problems” orders. A problem order is one that is delivered to a customer late (i.e., after five days), incorrect or incomplete. The company sampled 500 orders every other day for 20 samples and tracked them to final customer delivery. The results of which are as follows: Sample Numbers of Problems Orders Sample Numbers of Problems Orders 1 2 3 4 5 6 7 8 9 10 9 21 18 12 25 41 18 19 26 28 11 12 13 14 15 16      14    22 36 17 38 24 15 12 10 16 17 18 19 20 Construct an appropriate control chart for this process using 3-sigma limits and indicate if the process was out of control. Show work, show how to do the computation
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