Sample Questions

1
Sample Questions

• Coverage Week 1-6

2
Multiple Choice - 1

• What is a process?
• A system used in manufacturing
• A six sigma computer application
• Any repetitive activity in business environment
• The opposite of a concess

3
Multiple Choice - 2

• All of the following are phases in 6s methodology
  except
• Define
• Analyze
• Interpret
• Measure

4
Multiple Choice - 3

• What is SIPOC?
• Suppliers-Inputs-Process-Outputs-Customer
• Suppliers-Inputs-Planning-Outputs-Customer
• Suppliers-Inputs-Planning-Organization-Customer
• Suppliers-Inputs-Planning-Outputs-Control

5
Multiple Choice - 4

• Who introduced PDCA?
• W.E. Deming
• J.M. Juran
• W.A. Shewhart
• A.B. Godfrey

6
True / False - 1

• Tool wear can cause non normal distribution
• True
• False

7
True / False - 2

• Control limits are typically set at /- 2
  standard deviations from the target of control
  chart
• True
• False

8
True / False - 3

• VOC is derived from CTQ
• True
• False

9
True / False - 4

• Different operators producing the same Y cannot
  cause asymmetric distributions
• True
• False

10
Short Answer - 1

• Why 6s is associated with 3.4 dpmo?

11
Short Answer 2

• Many manufacturing problems involve the accurate
  matching of machine parts such as shafts that fit
  into a valve hole. A particular design requires a
  shaft with a diameter of 22.000 mm, but shafts
  with diameters between 21.900 mm and 22.010 mm
  are acceptable. Suppose that the manufacturing
  process yields shafts with diameters normally
  distributed with a mean of 22.002 mm and a
  standard deviation of .005 mm. If a random sample
  of 36 shafts is chosen from the above process,
  what is the probability of the sample mean being
  above 20.003 mm?

12
Data Analysis - 1

• Questions related to Table 19.3 on pp.613-614.