2.2
Six sigma was introduced by engineer Bill Smith in 1980, Its sn
tool or a technique which makes sure that 99.9999 percent quality
has maintained while processing, that is improvement of quality in
the stage of process through identifying and removing the causes of
defects even it involves minimizing variability in
manufacturing.
Six Sigma has 2 methodologies based on Deming's Plan–Do–Study–Act
Cycle. That is DMAIC (defone, measure, analyse, improve and
control) is used for improving an existing business processes and
DMADV(define, measure, analyse, design and verify the design ) used
for creating new product or process designs.
2.3
Simple random sampling - here sample is taken from the larger
population N, the subset of population ( sample)is n.
Stratified sampling - here the population is divided into groups,
based on some characteristic and groups are called strata
cluster sampling - here the population is divided into the separate
groups, called clusters.
Multistage sampling - here we select the sample by using
combinations of different sampling methods.
Systematic random sampling - here we create a list from the
population then we randomly select the first sample element from
the first k elements and sekection will continue till kth element
on the list.
2.4
The disparity between an actual measure of a product characteristic
and its target value is termed as variation where as excessive
variation is somewhere the upper and lower acceptable limits which
is established for a product specification,
Which may cause,
*decreased capacity utilization
*unreliability
*product discard
*salvage
2.5
The Balanced Scorecard moves from up to down, starting from
objectives and then moves down to KPIs (key performance
indicators)level,scorecard focuses on a given metric and compares
it to a target,where as dashboard comes at operational level,
involves presenting multiple numbers in different ways to support
the strategy.
2.6
Red bead experiment says that its necessary to understand the
system before making any changes for defect control or quality
improvement. Its an illusion of bad management where too many
employees and the rigid procedures do not allow workers to maintain
quality when there is a defect in system.
The funnel experiment describes the adverse effects of too much
adjusting a process when not required. When we adjust the process
in response to random variation,then probably we are overadjusting
the process and it leads to more variation in the process than
would occur if a random cause process is left alone( without
adjustment ).
2.7
A) DPMO = Total Number of Defects found in Sample / (Sample Size *
Number of Defects Opportunities per Unit in the Sample) *
1000000
B) epmo = 3/(8000*1.6)*1000000
= 234.375
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