Six sigma- DMAIC And DMADV , Difference between DMAIC And DMADV,Six sigma quality levels, six sigma learning curve,Six sigma benefits,softwares uesd for six sigma,companies with six sigma.
3. 1.DMAIC
It is used for projects aimed at improving an
existing business process.
2.DMADV
It is used for projects aimed at creating new
product or process designs. 2
4. 1.DMAIC
1.Define :
V v v Define the system, the voice of the customer and
v v their requirements, and the project goals,
V specifically.
2.Measure :
Measure key aspects of the current process and
Collect relevant data.
3
5. 3.Analyze:
Analyze the data to investigate and verify cause .
D Seek out the root cause of the defect under
Investigation.
4.Improve:
Improve or optimize the current process based upon
data anlysis.
Set up pilot runs to establish process capability.
4
6. 5. Control:
Control the future state process to ensure that any
deviations from target are corrected before they
result in defects. Implement control systems such
as
Statistical process control, production boards,
Visual workplace, and continuously monitor the
Process.
5
7. 2.DMADV
1.Define :
Define design goals that are consistent with
b b b customer demands and the enterprise strategy.
2.Measure:
Measure and identify CTQs ( characteristics that
V are Critical To Quality ) , product capabilities,
Production process capability, and risks.
6
8. 3.Analyze :
• Analyze to develop and design alternatives.
4.Design :
Design an improved alternative, best suited per
analysis in the previous step.
7
9. 5.Verify :
Verify the design, set up pilot runs ,implement
the production process and hand it over to the
V process owner (s).
8
10. Difference between DMAIC and DMADV
DMAIC
• The emphasis of DMAIC is more on
correcting an existing process and
reducing existing variations.
• DMAIC is “Correction”.
• DMAIC uses more of statistical tool
and numerical/quantitative analysis to
arrive at the solution.
• Six sigma focuses on one or two CTQ
.
• DMAIC projects often take short
duration to fix a customer problems
and process improvements.
DMADV
• DMADV is more about creating
a process ( standardize) with an
optimized design or “Doing it
Right first time”.
• DMADV is “Prevention”.
• DMADV uses Qualititative tools
:
QFD (Quality Function
Deployment),KANO model etc.
. DFSS focuses on every single
CTQ.
.DMADV projects are often much
larger and take longer, and are
often based on a long term. 9
11. Six Sigma Quality levels :
10
https://images.app.goo.gl/UeiX7GcTyqbUhLCGA
https://images.app.goo.gl/kGtnUq6s2wrcoSX4A
12. Six Sigma learning curve:
11
https://images.app.goo.gl/aifxexKPcvNGeHCe6
13. Six Sigma benefits:
• Improve customer loyalty
• Time management
• Reduce cycle time
• Employee motivation
• Strategic planning
• Supply chain management
12
14. Software used for Six Sigma:
• Arena
• ARIS Six Sigma
• Bonita Open Solution BPMN2 standard and
KPLs for statistic monitoring.
• JMP
• Mathematical
• MATLAB or GNU Octave
• Microsoft Visio
• STATA
• STATISTICA
13
16. CASE STUDY:
Catalent pharma solutions, is a leader in developing solutions for the
pharmaceutical, veterinary, biological and consumer health industries.
The company was faced with high numbers of defects after producing
millions of units. The process flow was slow because of the time
required to analyze the samples.Six sigma processes were applied to
address these issues.
The company specifically required a solution for their
proprietary product knows as zydis .The company needed new systems
that would help to predict the process variation . The improvements are
also supposed to help operators understand statistical analysis.
15
17. The project team devised a database to collect information. Control
charts were also completed and entered automatically. The
programming language used for automation was flexible and easy to
replicate .The efficiency was improved by making these changes. After
two weeks of implementing Six Sigma processes the company
prevented the loss of two batches of product, which was worth 50.000
pounds.which is “Five million one hundred one thousand five hundred”.
This case study demonstrates how companies can improve processes to
meet Six Sigma standards, prevent losses and save money. Companies
that save money can reallocate the funds towards research and design or
improvement of other processes. Every company should try six Sigma
processes.
16
18. Conclusion:
• Six Sigma through the correct application of statistical tools can reap
a company enormous rewards that will have a positive effect for years.
• Six Sigma can be a dismal failure if not used correctly.
• A true Six Sigma organization produces not only excellent product but
also maintains highly efficient production and administrative systems.
17
19. Reference :
• INDUSTRIAL PHARMACY-II Book by Dr.k.P Sampath Kumar
,Nirali Prakashan Page no.4.9-4.10
18
• Montgomery, D.C. and Woodall, W.H., 2008. An overview of six
sigma. International Statistical Review/Revue Internationale de
Statistique, pp.329-346.
• Tjahjono, B., Ball, P., Vitanov, V.I., Scorzafave, C., Nogueira, J.,
Calleja, J., Minguet, M., Narasimha, L., Rivas, A., Srivastava, A.
and Srivastava, S., 2010. Six Sigma: a literature
review. International Journal of Lean Six Sigma.
• https://images.app.goo.gl/aifxexKPcvNGeHCe6
