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Education
Six Sigma Black/Green Belt
Posted Date:
31-Jan-2011
Category:
Education
Author:
srinivas
Member Level:
Gold
Points
: 2
Six Sigma Black/Green Belt Training in Indian Statistical Institute
Six Sigma Black/Green Belt Training in Indian Statistical Institute ,Hyderabad from Feb 14th to 18th, 2011.
SIX SIGMA
Six Sigma is a well structured approach
for achieving process excellence through
reducing variation in processes and
products / services. The strategy is being
successfully implemented across the
globe in all types of industries. In this
approach the processes which are
critical to the Business and Customer
are identified through process mapping.
The philosophy is to reduce the
occurrence of defects in them to 3.4
DPMO/PPM using DMAIC
methodology. Green Belts play a
substantial supportive role in
accomplishing the Six Sigma Projects.
Six Sigma Overview, Identification,
Prioritization and selection of
Improvement opportunities, Roles and
responsibilities in Six Sigma
implementation, Overview of Six Sigma
Project execution DMAIC (Define-
Measure-Analyze-Improve & Control)
Development of Project Team and
Charter, Define and Map Processes to be
improved. SIPOC or COPIS (SupplierInput-Process-Output-Customer),
Activity
Flow Chart. Identification of Critical-to-
Customer / Critical-to-Business
Characteristics (concept of tree diagram)
Types of Data, Sample Size determination
for a given confidence level and Data
Collection, planning including use of
Prioritization Matrix and/or FMEA.
Minitab statistical software package will
be used during the training. Measurement
Systems Analysis (Gauge R&R) for
variables as well as attribute data.
Understanding variation – Special causes
vs. Common causes. Seven QC tools,
Evaluation of Process Capability and
assessment of Sigma level.
Identification of value added and non
value added activities. Organizing for
potential causes using Cause and Effect
diagram and FMEA. Concept of
Correlation and regression and use of
same in validating causes. Concept of
Tests of Hypotheses like Two sample t-test,
Chi-Square test, ANOVA etc and their use
in validating the causes.
Concept of Industrial Experimentation,
Selection and prioritization of solutions for
the validated causes. Development of plan
for pilot and full scale implementation.
Process evaluation and monitoring
mechanism using Control Charts for
controlling processes. Institutionalization
and integration of the solutions, and
Closing the Project.
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