Question 1: A company making tires for bikes is concerned about the exact width of its cyclocross tires. The company has a lower specification limit of 22.8 mm and an upper specification limit of 23.2 mm. The standard deviation is 0.15 mm and the mean is 23 mm. What is the process capability index (Cpk) for the process?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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Question 1:
A company making tires for bikes is concerned about the exact width of its cyclocross tires. The
company has a lower specification limit of 22.8 mm and an upper specification limit of 23.2
mm. The standard deviation is 0.15 mm and the mean is 23 mm. What is the process capability
index (Cpk) for the process?
Question 2:
Consider again that the company making tires for bikes is concerned about the exact width of
its cyclocross tires. The company has a lower specification limit of 22.8 mm and an upper
specification limit of 23.2 mm. The standard deviation is 0.15 mm and the mean is 23 mm.
What is the probability that a tire will either be too wide or too narrow?
Question 3:
You are working in a small, student-run company that sends out merchandise with university
branding to alumni around the world. Every day, you take a sample of 50 shipments that are
ready to be shipped to the alumni and inspect them for correctness. Across all days, the
average percentage of incorrect shipments is 5 percent. What would be the upper control limit
for a p-chart?
Transcribed Image Text:Question 1: A company making tires for bikes is concerned about the exact width of its cyclocross tires. The company has a lower specification limit of 22.8 mm and an upper specification limit of 23.2 mm. The standard deviation is 0.15 mm and the mean is 23 mm. What is the process capability index (Cpk) for the process? Question 2: Consider again that the company making tires for bikes is concerned about the exact width of its cyclocross tires. The company has a lower specification limit of 22.8 mm and an upper specification limit of 23.2 mm. The standard deviation is 0.15 mm and the mean is 23 mm. What is the probability that a tire will either be too wide or too narrow? Question 3: You are working in a small, student-run company that sends out merchandise with university branding to alumni around the world. Every day, you take a sample of 50 shipments that are ready to be shipped to the alumni and inspect them for correctness. Across all days, the average percentage of incorrect shipments is 5 percent. What would be the upper control limit for a p-chart?
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