Courses
L.K. Quality Bt. has
dealt with the hard side of quality, namely with statistical methods for
many years.
- The
courses offer tools for improving processes, what can be applied to
continuous (TQM) and breakthrough quality improvement.
- The
courses are supported by software (MINITAB, ProcessModel,
MTB Quality Companion),
what are provided by the organizer during the training. Each participant
uses his/her own note-book (requirements to the computer can be seen
here)
- Company
data brought by the
attendants are analyzed during the courses.
- The
courses lay/deepen the basic knowledge necessary to run Six Sigma
projects.
- The
participants receive certification about finishing the courses.
- The
courses are built each other; to keep the sequences of the courses is
recommended.
- The
education can take place in
central organization or on the company site.
1. Statistical Bases (2 days)
- Variable and attribute data,
distributions
- Analysis of data sets
- numerical and graphical
analysis
- Statistical Process Control (SPC)
- Capability
analysis, etc.
Examples
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2. Sampling Inspection (2 days)
- Theory of variable and
attribute
sampling inspection
- Calculation of sampling plans
- OC,
ASN, AOQ, ATI graphs
- Standardized sampling plans
- Sampling methods
- Usage of samplimng standards,
etc. Examples
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3. Advanced Statistical Methods (2
days)
- Confidence interval
- Hypothesis test
- Statistical tests
- Power of test, sample size
- Correlation
- Analysis of variance (ANOVA)
- Regression, etc.
Examples
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4. Measurement System Analysis (2 days)
- Accuracy and precision
-
Linearity and stability
- Gage capability
- Division of variances
- repeatability
- reproducibility
- Attribute Agreement Analysis,
etc.
Examples
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5. Design of Experiments (3 days)
- Full factor experiments
- Block-creation
- Fractional factorial designs
- Alias structure and confounding
- Taguchi
method
- Response Surface Design
- Optimization, etc.
Examples
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6. Reliability Knowledge (3 days)
- Bath curve
- Weilbull distribution
- Reliability functions
- Data collection, censoring
-
Parametric and nonparametric analysis
- Demonstration Test Plans
- Repairable system analysis, etc. Examples
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7.
Modeling Processes
(2 days)
- Usage of ProcessModel
software
- Creation of Flow Charts
- Lean data
- Goodness-of-fit test for data
- Flow rate, flow time and inventory
- Simulation
-
Optimalization of processes,
etc.
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8. Managing of Six Sigma Projects (2 nap)
- Usage of MTB Quality Companion
software
- More than 100 quality tools
- Coaches for the tools (English
and Hungarian)
- Forms for the documentation (English
and Hungarian)
- Simple quality techniques
-
Mathematical statistical
tools
- Financial analyses, etc.
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9. Six Sigma Green Belt Course (5 days)
- Six Sigma quality trend
- Methodology of Six Sigma (DMAIC)
-
Mathematical statistical bases
- Managing projects
- Six Sigma tools
- Usage of MTB Quality Companion software
- Preparation for
certification of EOQ
MNB, etc.
|
10. Six Sigma Black Belt Course (5 days)
- Advanced
mathematical statistical methods
- Analysis and optimalization of processes
- Reliability knowledge
- Usage of MINITAB software
- Software
exercises for managing
processes with ProcessModel
- Run projects by MTB Quality Companion
software
- Preparation for
certification of EOQ
MNB, etc.
|
Selection of Matematical
Statistical Methods
Detailed themes
can be found: http://www.lkq.hu/tnf0.htm,
http://www.lkq.hu/szigma/oktat3.htm
Centrally organized courses
take palace in Budapest.
Applicants are welcomed, inquires are gladly answered.
Phone: 06 1 262 0412 e-mail: lakat lkq.hu
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