Operations Management: Processes and Supply Chains, Student Value Edition Plus MyLab Operations Management with Pearson eText -- Access Card Package (12th Edition)
Operations Management: Processes and Supply Chains, Student Value Edition Plus MyLab Operations Management with Pearson eText -- Access Card Package (12th Edition)
12th Edition
ISBN: 9780134855424
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Chapter 3, Problem 21P

(a)

Summary Introduction

Interpretation:The three-sigma control limits for defect per shirt is to be determined.

Concept Introduction:

The representation of defects in a constant sample size is done by the c-chart. This is basically used at that the time when the identification of actual number of defects is difficult.

(b)

Summary Introduction

Interpretation: Theprocess is to be concluded when the next shirt has 13 flaws.

Concept Introduction:

The representation of defects in a constant sample size is done by the c-chart. This is basically used at that the time when the identification of actual number of defects is difficult.

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Jim’s Outfitters, Inc., makes custom fancy shirts for cowboys. The shirts could be flawed in various ways, including flaws in the weave or color of the fabric, loose buttons or decorations, wrong dimensions, and uneven stitches. Jim randomly examined 10 shirts, with the following results:Shirt               Defects1                         82                         03                         74                       125                         56                       107                         28                         49                         610                       6a. Assuming that 10 observations are adequate for these purposes, determine the three-sigma control limits for defects per shirt.b. Suppose that the next shirt has 13 flaws. What can you say about the process now?
Inter-State Moving and Storage Company wishes to establish a control chart to monitor the proportion of residential moves that result in written complaints due to late delivery, lost items, or damaged items. A sample of 40 moves is selected for each of the last 12 months. The number of written complaints in each sample is 9, 7, 4, 9, 1, 9, 11, 5, 5, 8, 7, and 15. Number Defective Percent defective 9 18 7 14 4 8 9 18 1 2 9 18 11 22 5 10 5 10 8 16 7 14 15 30 a. Insert the mean proportion defective, UCL, and LCL. (Leave no cells blank - be certain to enter "0" wherever required. Round your intermediate calculations and final answers to 2 decimal places.) Mean proportion defective   UCL   LCL   c. Does it appear that the number of complaints is out of control for any of the months?multiple choice Yes No
The manager of the customer service department of Data Tech Credit Card Service Company is concerned about the number of defects produced by the billing process. Every day a random sample of 250 statements was inspected for errors regarding incorrect entries involving account numbers, transactions on the customer’s account, interest charges, and penalty charges. Any statement with one or more of these errors was considered a defect. The study lasted 30 days and yielded the data in Table. Sample Data For Data Tech Credit Card Service Samples Number of Errors in Sample of 250 1–10 3 8 5 11 7 1 12 9 0 8 11–20 3 5 7 9 11 3 2 9 13 4 21–30 12 10 6 2 1 7 10 5 8 4 a. Construct a p-chart for the billing process.b. Is there any nonrandom behavior in the billing process that would require management attention?
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