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Presented to
Dr. Sumaira Naeem
2
Sr.# CONTENTS
Slide
No.
1. Introduction 3
2. Characteristics of Six Sigma 5
3. Six Sigma Objectives 6
4. Methodologies 11
5. DMAIC 13
6. DMADV 16
7. Software used for Six Sigma 19
8. Catalent Format Solutions 21
9. Conclusions 22
10. References 23
1. Introduction
Six Sigma is a set of techniques, and tools for process
improvement. It was developed by Motorola in 1986.
Sir Bill Smith, “ the Father of six sigma”
introduce this quality improvement
Methodology.
Fig.1.1 Father of six sigma3
Definition
“Six Sigma seeks to improve the quality of
process outputs by identifying and removing the
causes of defects”
Six Sigma approach is a collection of managerial and statistical
concept and techniques that focuses on reducing variation in
processes and preventing deficiencies in product.
The concept of Variation states “NO two items
will be perfectly identical.”
4
5
2. Characteristics of Six Sigma
3. Six Sigma Objectives
A.Overall Business Improvement
Six Sigma methodology focuses on business
improvement. Beyond reducing the number of
defects present in any given number of products.
Fig. 1.2 Focus team
6
B. Remedy Defects/Variability
•Any business seeking improved numbers must reduce
the number of defective products or services it
produces
• Defective products can harm customer satisfaction
levels
Fig. 1.3 Defects 7
C. Reduce Costs
•Reduced costs equal increased profits
•A company implementing Six Sigma principles has to
look to reduce costs wherever it possibly can without
reducing quality.
Fig. 1.4 Reduce costs
8
D. Improve Cycle Time
•Any reduction in the amount of time it takes to
produce a product or perform a service means money
saved, both in maintenance costs and personnel wages.
•Additionally, customer satisfaction improves when
both retailers and end users receive products sooner
than expected.
Fig. 1.5 Cycle time 9
E. Increase Customer Satisfaction
•Customer satisfaction depends upon successful
resolution of all Six Sigma’s other objectives.
•But customer satisfaction is an objective all its own.
•As soon as customers receive their products , more
satisfy they are.
Fig. 1.6 Feedback 10
4. Methodologies
Six Sigma projects follow two project methodologies
• DMAIC
• DMADV
These methodologies, composed of five phases.
Fig. 1.7 Methodologies
11
DMAIC is used for projects aimed at improving an
existing business process.
DMADV is used for projects aimed at creating new
product or process design.
12
5. DMAIC
The DMAIC project methodology has five phases
•Define
•Measure
•Analyze
•Improve
•Control
Fig. 1.8 DMAIC Strategy
13
•Define
Define the system, the voice of the customer and
their requirements, and the project goals,
specifically.
•Measure
Measure key aspects of the current process and
collect relevant data.
•Analyze
Analyze the data to investigate and verify cause and
effect relationships. Seek out root cause of the defect
under investigation.
14
•Improve
Improve or optimize the current process based upon
data analysis using techniques such as design of
experiments, or mistake proofing, and standard work to
create a new, future state process.
•Control
Control the future state process to ensure that any
deviations from target are corrected before they result
in defects.
15
6. DMADV
The DMADV project methodology has five phases
•Define
•Measure
•Analyze
•Design
•Verify
Fig. 1.9 DMADV Strategy
16
•Define
Define design goals that are
consistent with customer demands
and the enterprise strategy.
• Measure
Measure and identify CTQs
(characteristics that are Critical To
Quality), product capabilities,
production process capability, and
risks.
17
•Analyze
Analyze to develop and design
alternatives
•Design
Design an improved alternative, best
suited per analysis in the previous step
•Verify
Verify the design, set up pilot runs,
implement the production process and
hand it over to the process owner(s).
18
7. Software used for Six Sigma
•Arena
•JMP
•Mathematical
•MATLAB or GNU Octave
•Microsoft Visio
•STATISTICA
Fig. 1.10
STATISTICA
19
Six Sigma tools
•Flow Chart
•Pareto Chart
•Histogram
•Check Sheet
•Scatter Plot
•Control Chart
Fig. 1.11 Histogram
20
8. Catalent Pharma Solutions
Is a leader in developing solutions for the
pharmaceutical, veterinary, biological and consumer
health industries.
The company specifically required a solution for
their proprietary product known as Zydis.
21
9. Conclusion
•The project team devised a database to collect
information.
•Control charts were also completed and entered
automatically.
• 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.
This case study demonstrates how companies can
improve processes to meet Six Sigma standards,
prevent loses and save money
22
References
•"The Inventors of Six Sigma". Archived from the original on
2005-11-06. Retrieved 2006-01-29.
•Tennant, Geoff (2001). SIX SIGMA: SPC and TQM in
Manufacturing and Services. Gower Publishing, Ltd.
p. 6. ISBN 0-566-08374-4.
•"About Motorola University". Archived from the original on
2005-12-22. Retrieved 2006-01-28.
•"Six Sigma: Where is it now?". 24 June 2003. Retrieved 2008-
05-22.
•Jump up to: a b c d Dusharme, Dirk. "Six Sigma Survey:
Breaking Through the Six Sigma Hype". Quality Digest
23
24

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SIX SIGMA PPT.pptx

  • 2. 2 Sr.# CONTENTS Slide No. 1. Introduction 3 2. Characteristics of Six Sigma 5 3. Six Sigma Objectives 6 4. Methodologies 11 5. DMAIC 13 6. DMADV 16 7. Software used for Six Sigma 19 8. Catalent Format Solutions 21 9. Conclusions 22 10. References 23
  • 3. 1. Introduction Six Sigma is a set of techniques, and tools for process improvement. It was developed by Motorola in 1986. Sir Bill Smith, “ the Father of six sigma” introduce this quality improvement Methodology. Fig.1.1 Father of six sigma3
  • 4. Definition “Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects” Six Sigma approach is a collection of managerial and statistical concept and techniques that focuses on reducing variation in processes and preventing deficiencies in product. The concept of Variation states “NO two items will be perfectly identical.” 4
  • 6. 3. Six Sigma Objectives A.Overall Business Improvement Six Sigma methodology focuses on business improvement. Beyond reducing the number of defects present in any given number of products. Fig. 1.2 Focus team 6
  • 7. B. Remedy Defects/Variability •Any business seeking improved numbers must reduce the number of defective products or services it produces • Defective products can harm customer satisfaction levels Fig. 1.3 Defects 7
  • 8. C. Reduce Costs •Reduced costs equal increased profits •A company implementing Six Sigma principles has to look to reduce costs wherever it possibly can without reducing quality. Fig. 1.4 Reduce costs 8
  • 9. D. Improve Cycle Time •Any reduction in the amount of time it takes to produce a product or perform a service means money saved, both in maintenance costs and personnel wages. •Additionally, customer satisfaction improves when both retailers and end users receive products sooner than expected. Fig. 1.5 Cycle time 9
  • 10. E. Increase Customer Satisfaction •Customer satisfaction depends upon successful resolution of all Six Sigma’s other objectives. •But customer satisfaction is an objective all its own. •As soon as customers receive their products , more satisfy they are. Fig. 1.6 Feedback 10
  • 11. 4. Methodologies Six Sigma projects follow two project methodologies • DMAIC • DMADV These methodologies, composed of five phases. Fig. 1.7 Methodologies 11
  • 12. DMAIC is used for projects aimed at improving an existing business process. DMADV is used for projects aimed at creating new product or process design. 12
  • 13. 5. DMAIC The DMAIC project methodology has five phases •Define •Measure •Analyze •Improve •Control Fig. 1.8 DMAIC Strategy 13
  • 14. •Define Define the system, the voice of the customer and their requirements, and the project goals, specifically. •Measure Measure key aspects of the current process and collect relevant data. •Analyze Analyze the data to investigate and verify cause and effect relationships. Seek out root cause of the defect under investigation. 14
  • 15. •Improve Improve or optimize the current process based upon data analysis using techniques such as design of experiments, or mistake proofing, and standard work to create a new, future state process. •Control Control the future state process to ensure that any deviations from target are corrected before they result in defects. 15
  • 16. 6. DMADV The DMADV project methodology has five phases •Define •Measure •Analyze •Design •Verify Fig. 1.9 DMADV Strategy 16
  • 17. •Define Define design goals that are consistent with customer demands and the enterprise strategy. • Measure Measure and identify CTQs (characteristics that are Critical To Quality), product capabilities, production process capability, and risks. 17
  • 18. •Analyze Analyze to develop and design alternatives •Design Design an improved alternative, best suited per analysis in the previous step •Verify Verify the design, set up pilot runs, implement the production process and hand it over to the process owner(s). 18
  • 19. 7. Software used for Six Sigma •Arena •JMP •Mathematical •MATLAB or GNU Octave •Microsoft Visio •STATISTICA Fig. 1.10 STATISTICA 19
  • 20. Six Sigma tools •Flow Chart •Pareto Chart •Histogram •Check Sheet •Scatter Plot •Control Chart Fig. 1.11 Histogram 20
  • 21. 8. Catalent Pharma Solutions Is a leader in developing solutions for the pharmaceutical, veterinary, biological and consumer health industries. The company specifically required a solution for their proprietary product known as Zydis. 21
  • 22. 9. Conclusion •The project team devised a database to collect information. •Control charts were also completed and entered automatically. • 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. This case study demonstrates how companies can improve processes to meet Six Sigma standards, prevent loses and save money 22
  • 23. References •"The Inventors of Six Sigma". Archived from the original on 2005-11-06. Retrieved 2006-01-29. •Tennant, Geoff (2001). SIX SIGMA: SPC and TQM in Manufacturing and Services. Gower Publishing, Ltd. p. 6. ISBN 0-566-08374-4. •"About Motorola University". Archived from the original on 2005-12-22. Retrieved 2006-01-28. •"Six Sigma: Where is it now?". 24 June 2003. Retrieved 2008- 05-22. •Jump up to: a b c d Dusharme, Dirk. "Six Sigma Survey: Breaking Through the Six Sigma Hype". Quality Digest 23
  • 24. 24