Transcript Sample Questions Coverage: Week 1-6

Sample Questions
Coverage: Week 1-6
Multiple Choice - 1

What is a process?
A system used in manufacturing
b. A six sigma computer application
c. Any repetitive activity in business
environment
d. The opposite of a concess
a.
Multiple Choice - 2

All of the following are phases in 6s
methodology except:
Define
b. Analyze
c. Interpret
d. Measure
a.
Multiple Choice - 3

What is SIPOC?
Suppliers-Inputs-Process-Outputs-Customer
b. Suppliers-Inputs-Planning-OutputsCustomer
c. Suppliers-Inputs-Planning-OrganizationCustomer
d. Suppliers-Inputs-Planning-Outputs-Control
a.
Multiple Choice - 4

Who introduced PDCA?
 W.E.
Deming
 J.M. Juran
 W.A. Shewhart
 A.B. Godfrey
True / False - 1

Tool wear can cause non normal
distribution
 True
 False
True / False - 2

Control limits are typically set at +/- 2
standard deviations from the target of
control chart
 True
 False
True / False - 3

VOC is derived from CTQ
 True
 False
True / False - 4

Different operators producing the same Y
cannot cause asymmetric distributions
 True
 False
Short Answer - 1

Why 6s is associated with 3.4 dpmo?
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?
Data Analysis - 1

Questions related to Table 19.3 on pp.613614.