qp (1).pptx                             1
intro
Evolution Of Quality
Reactive Quality
Quality check(QC) Taking
the defects out of what is
produced.
Proactive quality
Create process that will
produce less or no
defects
Why Six Sigma
Data-Driven Approach
Focus on Customer Requirements
Continuous Improvement Culture
Reduction of Defects and Variability
Cost Efficiency
Structured Methodology
Six Sigma's Role for Quality
• Data analysis: Pinpoints defects, identifies variability.
• Reducing waste: Improves efficiency and quality.
• Process capability: Ensures outputs meet specified limits
• .Continuous improvement: Regular process assessment and
enhancement.
• Customer alignment: Meets or exceeds expectations.
What is six sigma
• Six Sigma: Methodology for continuous improvement.
• High standards: Ensures products/processes perform at excellence.
• Statistical tools: Arranged uniquely for effectiveness.
• Assessment: Knowing current state and potential.
• Quality philosophy: Also a management technique
Sigma
• Sigma (σ) represents the standard deviation in a set of data, which
measures the amount of variation or spread. In Six Sigma, a higher sigma
level indicates fewer deviations from the mean (the average value) and
thus, a more consistent process.
Defects per Million Opportunities (DPMO)
• Six Sigma is often associated with the number of defects per million opportunities. For instance
• 1 Sigma: Roughly 690,000 defects per million opportunities.
• 2 Sigma: About 308,000 defects per million.
• 3 Sigma: Approximately 66,800 defects per million.
• 4 Sigma: Around 6,200 defects per million.
• 5 Sigma: Close to 230 defects per million
• .6 Sigma: Only about 3.4 defects per million opportunities.
• As you move from a lower sigma level (like 1 Sigma) to a higher one (like 6 Sigma), the number of defects or errors decreases
significantly.
What is DMAIC
• A logical and structured approach to problem solving and process
improvement
• An iterative process (continuous improvement)
• A quality tool with focus on change management
• E = Q x A
• Effectiveness Quality improvement Acceptance
Six Sigma tool kit
• ,
DEFINE MEASURE
ANALYZE IMPROVE
CONTROL
The GE model for process improvement
Define
• Objective: Identify the problem or project goals.
• Activities:
• Define the problem statement.
• Identify stakeholders and project scope.
• Establish project goals and customer requirements.
• Tools: Project charters, SIPOC diagrams (Suppliers, Inputs, Process,
Outputs, Customers), and Voice of the Customer (VoC) analysis.
Measure
• Objective: Quantify the current performance of the process.
• Activities:
• Collect data on current process performance.
• Develop a data collection plan.
• Identify key performance indicators (KPIs).
• Tools: Data collection forms, process maps, statistical analysis software,
and measurement system analysis (MSA).
Analyze
• Objective: Identify the root causes of defects or inefficiencies.
• Activities:
• Analyze the data collected to identify trends and patterns.
• Use statistical tools to determine the root causes of problems.
• Validate root causes through further investigation.
• Tools: Fishbone diagrams (Ishikawa), Pareto charts, regression analysis,
and hypothesis testing.
Improve
• Objective: Implement solutions to address root causes and improve
process performance.
• Activities:
• Brainstorm and develop potential solutions.
• Pilot and test the solutions.
• Implement the best solutions on a larger scale.
• Tools: Brainstorming sessions, design of experiments (DOE), failure modes
and effects analysis (FMEA), and piloting/testing protocols.
Control
• Objective: Sustain the improvements and ensure long-term success.
• Activities:
• Develop and implement control plans.
• Monitor process performance to ensure gains are maintained.
• Standardize the improved process.
• Tools: Control charts, process control plans, standard operating
procedures (SOPs), and training programs.
DPMO(Defects Per Million Opportunities)
• DPMO (Defects Per Million Opportunities) measures the number of
defects relative to the number of chances for defects to occur,
expressed per one million opportunities.
• Formula: The DPMO can be calculated using the formula:
• Dpmo=number of defects/no of opportunity*number of unit
produce
overview & history of six sigma
• 1980s: Developed by Motorola engineers, led by Bill Smith, to improve
manufacturing processes and reduce defects.
• 1990s Lockheed Martin Began integrating Six Sigma methodologies.
Achieved significant improvements in production processes. Reduced
defects and cycle times, leading to cost savings and better project
performance.
• In 2000s the Northrop Grumman company Implemented Six Sigma,
achieving process standardization and improved delivery schedules.
Played a crucial role in projects like the B-2 Spirit stealth bomber and
satellite systems.
A Brief Overview defense Raytheon's Six Sigma Story
• Raytheon, a major U.S. defense contractor, embraced Six Sigma in the
early 2000s to drive process improvements and innovation. Six Sigma
helped Raytheon enhance its manufacturing processes, resulting in
reduced cycle times and improved product reliability. The company
reported significant cost savings and efficiency gains, particularly in its
missile systems and defense electronics divisions.
defense Raytheon's Six Sigma Story
• Implementation
• Raytheon applied Six Sigma principles across its manufacturing processes,
focusing on reducing cycle times, minimizing defects, and improving overall
reliability.
• Results
• The implementation of Six Sigma led to significant cost savings, particularly in
Raytheon's missile systems and defense electronics divisions, and fostered a
culture of continuous improvement.
• Recognition
• Raytheon's success with Six Sigma earned recognition for its commitment to
quality and operational excellence, positioning the company as a leader in the
defense industry.
Future Roadmap of Six Sigma
• Circular Economy Initiatives: Use Six Sigma to improve processes related to recycling, reuse, and waste
reduction.
• Global Standardization: Promote international standards and certifications for consistent application across
different regions and industries.
• Rapid Iteration: Implement shorter project cycles to quickly adapt to changes and continuously improve.
• Customer Experience (CX): Use Six Sigma to enhance customer satisfaction and loyalty by improving
customer-facing processes.
• Voice of the Customer (VoC): Integrate VoC feedback into Six Sigma projects to ensure alignment with
customer needs and expectations.
• Strengthening Organizational Culture:
• Leadership Development: Train leaders to foster a culture of continuous improvement and quality.
• Employee Engagement: Encourage greater employee participation and ownership of Six Sigma initiatives.
Tools and Techniques:
Kaiz
en
Value Stream
Mapping (VSM):
5S (Sort, Set in order, Shine,
Standardize, Sustain):
Just-in-Time (JIT)
What is Lean
• Lean: A methodology focused on improving efficiency by
eliminating waste and enhancing value
• educed Waste:.
• Improved Efficiency
• Cost Savings
• Higher Quality.
• Customer Satisfaction
• Flexibility and Responsiveness
Lean and Six Sigma
• When Lean and Six Sigma are combined, the approach is often referred to as Lean Six Sigma.
This integrated methodology leverages the strengths of both Lean and Six Sigma to maximize
process improvement.
History of defense company Boeing
• Boeing founded in 1916 by William Boeing, began as a small aircraft
manufacturing company in Seattle, Washington. Over the decades, it
evolved into one of the world’s largest aerospace and defense companies,
producing commercial airplanes, military aircraft, satellites, and space
exploration vehicles. Boeing played a pivotal role in aviation history with
iconic aircraft like the B-17 Flying Fortress during WWII and the
commercial success of the 747 jumbo jet.
Challenges
• Challenges: In the late 1990s and early 2000s, Boeing faced several challenges
• Production Delays: The company struggled with production inefficiencies and
delays, particularly with complex projects like the 787 Dreamliner.
• Quality Issues: Defects in production and supply chain management problems led
to increased costs and delays.
• Global Competition: Boeing faced intense competition from Airbus, which was
rapidly gaining market share.
Implementation of six sigma
• Application of Six Sigma: To address these issues, Boeing adopted Lean Six
Sigma, combining Lean’s waste reduction focus with Six Sigma’s precision in
reducing variability and defects.
• Streamlined Production Processes: Boeing applied Six Sigma to identify and
eliminate bottlenecks in production lines. For example, in the 787 Dreamliner
program, Six Sigma tools were used to optimize assembly processes, resulting in
more efficient workflows and reduced cycle times.
• Quality Improvement: Using Six Sigma's DMAIC (Define, Measure, Analyze,
Improve, Control) framework, Boeing improved quality control processes. This
led to a significant reduction in defects and rework, particularly in critical
components like aircraft fuselages and wings.
• Supply Chain Optimization: Six Sigma tools helped Boeing manage and
streamline its complex global supply chain. By improving communication and
coordination with suppliers, Boeing reduced delays and improved the overall
reliability of its supply chain.
Achievement
• Employee Training and Engagement: Boeing invested in Six
Sigma training for its workforce, fostering a culture of
continuous improvement. Employees were empowered to
identify problems and propose data-driven solutions, leading
to sustained improvements across the organization.
• Results: Boeing’s implementation of Lean Six Sigma led to
improved production efficiency, reduced costs, and enhanced
product quality. These improvements were crucial in helping
Boeing maintain its competitive edge in the aerospace
industry and meet the high standards required by its
customers, including commercial airlines and military clients.
thank you

More Related Content

PDF
6 sigma basic best ppt
PPTX
Six sigma QMS
PPTX
Six sigma
PPTX
Six-Sigma Concept in Quality management.pptx
PPT
Continuous improvement 6 sigma
PPTX
Six sigma control in total quality management copy
PPTX
Learning Six Sigma
6 sigma basic best ppt
Six sigma QMS
Six sigma
Six-Sigma Concept in Quality management.pptx
Continuous improvement 6 sigma
Six sigma control in total quality management copy
Learning Six Sigma

Similar to qp (1).pptx 1 (20)

PPTX
Module 4_Session 5.pptx_Operations Management
PPT
six sigma - Himani Panwar
PPTX
Lean Six Sigma- Internal Training Slides-2.pptx
PPTX
Sixsigma
PPTX
The Quality Standard: ISO 9000 , CMM and Six Sigma
PPT
Yellow belt training 68 s
PPTX
SSBB Exec Summary to understand basics of Six sigma
PDF
Six Sigma .pdf
PPTX
Understanding Six Sigma
PPTX
Ppt total quality management
PDF
Six Sigma - The Journey of Quality and Management
PPTX
[Pem Zhipeng Xie] project management: lean six sigma
PPTX
Six sigma
PPTX
PMINYC Lean
PPT
Six sigma vs kaizen
PPT
Six Sigma Vs Kaizen
PPTX
Six sigma
PPTX
Six Sigma
PDF
Six sigma
PDF
OM2_Lecture 11vvvhhbbjjbjdjjeebjrhvhuuhh
Module 4_Session 5.pptx_Operations Management
six sigma - Himani Panwar
Lean Six Sigma- Internal Training Slides-2.pptx
Sixsigma
The Quality Standard: ISO 9000 , CMM and Six Sigma
Yellow belt training 68 s
SSBB Exec Summary to understand basics of Six sigma
Six Sigma .pdf
Understanding Six Sigma
Ppt total quality management
Six Sigma - The Journey of Quality and Management
[Pem Zhipeng Xie] project management: lean six sigma
Six sigma
PMINYC Lean
Six sigma vs kaizen
Six Sigma Vs Kaizen
Six sigma
Six Sigma
Six sigma
OM2_Lecture 11vvvhhbbjjbjdjjeebjrhvhuuhh
Ad

More from Muhammad Tasleem (6)

PPT
ims-alerts_9001_14001 S
PPT
SixSigma g
PPT
six sigma 4
DOCX
Product Safety s
DOCX
6sigma s a
ims-alerts_9001_14001 S
SixSigma g
six sigma 4
Product Safety s
6sigma s a
Ad

Recently uploaded (20)

PDF
Best Data Science Professional Certificates in the USA | IABAC
PDF
Navigating the Thai Supplements Landscape.pdf
PPTX
IMPACT OF LANDSLIDE.....................
PPTX
AI AND ML PROPOSAL PRESENTATION MUST.pptx
PDF
Tetra Pak Index 2023 - The future of health and nutrition - Full report.pdf
PPTX
chrmotography.pptx food anaylysis techni
PPTX
sac 451hinhgsgshssjsjsjheegdggeegegdggddgeg.pptx
PPT
statistic analysis for study - data collection
PPTX
DS-40-Pre-Engagement and Kickoff deck - v8.0.pptx
PPTX
Machine Learning and working of machine Learning
PPTX
The Data Security Envisioning Workshop provides a summary of an organization...
PPT
DU, AIS, Big Data and Data Analytics.ppt
PPTX
Tapan_20220802057_Researchinternship_final_stage.pptx
PPT
lectureusjsjdhdsjjshdshshddhdhddhhd1.ppt
PDF
ahaaaa shbzjs yaiw jsvssv bdjsjss shsusus s
PPT
statistics analysis - topic 3 - describing data visually
PDF
Systems Analysis and Design, 12th Edition by Scott Tilley Test Bank.pdf
PPT
Image processing and pattern recognition 2.ppt
PPTX
eGramSWARAJ-PPT Training Module for beginners
PPTX
CHAPTER-2-THE-ACCOUNTING-PROCESS-2-4.pptx
Best Data Science Professional Certificates in the USA | IABAC
Navigating the Thai Supplements Landscape.pdf
IMPACT OF LANDSLIDE.....................
AI AND ML PROPOSAL PRESENTATION MUST.pptx
Tetra Pak Index 2023 - The future of health and nutrition - Full report.pdf
chrmotography.pptx food anaylysis techni
sac 451hinhgsgshssjsjsjheegdggeegegdggddgeg.pptx
statistic analysis for study - data collection
DS-40-Pre-Engagement and Kickoff deck - v8.0.pptx
Machine Learning and working of machine Learning
The Data Security Envisioning Workshop provides a summary of an organization...
DU, AIS, Big Data and Data Analytics.ppt
Tapan_20220802057_Researchinternship_final_stage.pptx
lectureusjsjdhdsjjshdshshddhdhddhhd1.ppt
ahaaaa shbzjs yaiw jsvssv bdjsjss shsusus s
statistics analysis - topic 3 - describing data visually
Systems Analysis and Design, 12th Edition by Scott Tilley Test Bank.pdf
Image processing and pattern recognition 2.ppt
eGramSWARAJ-PPT Training Module for beginners
CHAPTER-2-THE-ACCOUNTING-PROCESS-2-4.pptx

qp (1).pptx 1

  • 3. Evolution Of Quality Reactive Quality Quality check(QC) Taking the defects out of what is produced. Proactive quality Create process that will produce less or no defects
  • 4. Why Six Sigma Data-Driven Approach Focus on Customer Requirements Continuous Improvement Culture Reduction of Defects and Variability Cost Efficiency Structured Methodology
  • 5. Six Sigma's Role for Quality • Data analysis: Pinpoints defects, identifies variability. • Reducing waste: Improves efficiency and quality. • Process capability: Ensures outputs meet specified limits • .Continuous improvement: Regular process assessment and enhancement. • Customer alignment: Meets or exceeds expectations.
  • 6. What is six sigma • Six Sigma: Methodology for continuous improvement. • High standards: Ensures products/processes perform at excellence. • Statistical tools: Arranged uniquely for effectiveness. • Assessment: Knowing current state and potential. • Quality philosophy: Also a management technique
  • 7. Sigma • Sigma (σ) represents the standard deviation in a set of data, which measures the amount of variation or spread. In Six Sigma, a higher sigma level indicates fewer deviations from the mean (the average value) and thus, a more consistent process.
  • 8. Defects per Million Opportunities (DPMO) • Six Sigma is often associated with the number of defects per million opportunities. For instance • 1 Sigma: Roughly 690,000 defects per million opportunities. • 2 Sigma: About 308,000 defects per million. • 3 Sigma: Approximately 66,800 defects per million. • 4 Sigma: Around 6,200 defects per million. • 5 Sigma: Close to 230 defects per million • .6 Sigma: Only about 3.4 defects per million opportunities. • As you move from a lower sigma level (like 1 Sigma) to a higher one (like 6 Sigma), the number of defects or errors decreases significantly.
  • 9. What is DMAIC • A logical and structured approach to problem solving and process improvement • An iterative process (continuous improvement) • A quality tool with focus on change management • E = Q x A • Effectiveness Quality improvement Acceptance
  • 10. Six Sigma tool kit • , DEFINE MEASURE ANALYZE IMPROVE CONTROL The GE model for process improvement
  • 11. Define • Objective: Identify the problem or project goals. • Activities: • Define the problem statement. • Identify stakeholders and project scope. • Establish project goals and customer requirements. • Tools: Project charters, SIPOC diagrams (Suppliers, Inputs, Process, Outputs, Customers), and Voice of the Customer (VoC) analysis.
  • 12. Measure • Objective: Quantify the current performance of the process. • Activities: • Collect data on current process performance. • Develop a data collection plan. • Identify key performance indicators (KPIs). • Tools: Data collection forms, process maps, statistical analysis software, and measurement system analysis (MSA).
  • 13. Analyze • Objective: Identify the root causes of defects or inefficiencies. • Activities: • Analyze the data collected to identify trends and patterns. • Use statistical tools to determine the root causes of problems. • Validate root causes through further investigation. • Tools: Fishbone diagrams (Ishikawa), Pareto charts, regression analysis, and hypothesis testing.
  • 14. Improve • Objective: Implement solutions to address root causes and improve process performance. • Activities: • Brainstorm and develop potential solutions. • Pilot and test the solutions. • Implement the best solutions on a larger scale. • Tools: Brainstorming sessions, design of experiments (DOE), failure modes and effects analysis (FMEA), and piloting/testing protocols.
  • 15. Control • Objective: Sustain the improvements and ensure long-term success. • Activities: • Develop and implement control plans. • Monitor process performance to ensure gains are maintained. • Standardize the improved process. • Tools: Control charts, process control plans, standard operating procedures (SOPs), and training programs.
  • 16. DPMO(Defects Per Million Opportunities) • DPMO (Defects Per Million Opportunities) measures the number of defects relative to the number of chances for defects to occur, expressed per one million opportunities. • Formula: The DPMO can be calculated using the formula: • Dpmo=number of defects/no of opportunity*number of unit produce
  • 17. overview & history of six sigma • 1980s: Developed by Motorola engineers, led by Bill Smith, to improve manufacturing processes and reduce defects. • 1990s Lockheed Martin Began integrating Six Sigma methodologies. Achieved significant improvements in production processes. Reduced defects and cycle times, leading to cost savings and better project performance. • In 2000s the Northrop Grumman company Implemented Six Sigma, achieving process standardization and improved delivery schedules. Played a crucial role in projects like the B-2 Spirit stealth bomber and satellite systems.
  • 18. A Brief Overview defense Raytheon's Six Sigma Story • Raytheon, a major U.S. defense contractor, embraced Six Sigma in the early 2000s to drive process improvements and innovation. Six Sigma helped Raytheon enhance its manufacturing processes, resulting in reduced cycle times and improved product reliability. The company reported significant cost savings and efficiency gains, particularly in its missile systems and defense electronics divisions.
  • 19. defense Raytheon's Six Sigma Story • Implementation • Raytheon applied Six Sigma principles across its manufacturing processes, focusing on reducing cycle times, minimizing defects, and improving overall reliability. • Results • The implementation of Six Sigma led to significant cost savings, particularly in Raytheon's missile systems and defense electronics divisions, and fostered a culture of continuous improvement. • Recognition • Raytheon's success with Six Sigma earned recognition for its commitment to quality and operational excellence, positioning the company as a leader in the defense industry.
  • 20. Future Roadmap of Six Sigma • Circular Economy Initiatives: Use Six Sigma to improve processes related to recycling, reuse, and waste reduction. • Global Standardization: Promote international standards and certifications for consistent application across different regions and industries. • Rapid Iteration: Implement shorter project cycles to quickly adapt to changes and continuously improve. • Customer Experience (CX): Use Six Sigma to enhance customer satisfaction and loyalty by improving customer-facing processes. • Voice of the Customer (VoC): Integrate VoC feedback into Six Sigma projects to ensure alignment with customer needs and expectations. • Strengthening Organizational Culture: • Leadership Development: Train leaders to foster a culture of continuous improvement and quality. • Employee Engagement: Encourage greater employee participation and ownership of Six Sigma initiatives.
  • 21. Tools and Techniques: Kaiz en Value Stream Mapping (VSM): 5S (Sort, Set in order, Shine, Standardize, Sustain): Just-in-Time (JIT)
  • 22. What is Lean • Lean: A methodology focused on improving efficiency by eliminating waste and enhancing value • educed Waste:. • Improved Efficiency • Cost Savings • Higher Quality. • Customer Satisfaction • Flexibility and Responsiveness
  • 23. Lean and Six Sigma • When Lean and Six Sigma are combined, the approach is often referred to as Lean Six Sigma. This integrated methodology leverages the strengths of both Lean and Six Sigma to maximize process improvement.
  • 24. History of defense company Boeing • Boeing founded in 1916 by William Boeing, began as a small aircraft manufacturing company in Seattle, Washington. Over the decades, it evolved into one of the world’s largest aerospace and defense companies, producing commercial airplanes, military aircraft, satellites, and space exploration vehicles. Boeing played a pivotal role in aviation history with iconic aircraft like the B-17 Flying Fortress during WWII and the commercial success of the 747 jumbo jet.
  • 25. Challenges • Challenges: In the late 1990s and early 2000s, Boeing faced several challenges • Production Delays: The company struggled with production inefficiencies and delays, particularly with complex projects like the 787 Dreamliner. • Quality Issues: Defects in production and supply chain management problems led to increased costs and delays. • Global Competition: Boeing faced intense competition from Airbus, which was rapidly gaining market share.
  • 26. Implementation of six sigma • Application of Six Sigma: To address these issues, Boeing adopted Lean Six Sigma, combining Lean’s waste reduction focus with Six Sigma’s precision in reducing variability and defects. • Streamlined Production Processes: Boeing applied Six Sigma to identify and eliminate bottlenecks in production lines. For example, in the 787 Dreamliner program, Six Sigma tools were used to optimize assembly processes, resulting in more efficient workflows and reduced cycle times. • Quality Improvement: Using Six Sigma's DMAIC (Define, Measure, Analyze, Improve, Control) framework, Boeing improved quality control processes. This led to a significant reduction in defects and rework, particularly in critical components like aircraft fuselages and wings. • Supply Chain Optimization: Six Sigma tools helped Boeing manage and streamline its complex global supply chain. By improving communication and coordination with suppliers, Boeing reduced delays and improved the overall reliability of its supply chain.
  • 27. Achievement • Employee Training and Engagement: Boeing invested in Six Sigma training for its workforce, fostering a culture of continuous improvement. Employees were empowered to identify problems and propose data-driven solutions, leading to sustained improvements across the organization. • Results: Boeing’s implementation of Lean Six Sigma led to improved production efficiency, reduced costs, and enhanced product quality. These improvements were crucial in helping Boeing maintain its competitive edge in the aerospace industry and meet the high standards required by its customers, including commercial airlines and military clients.