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CMMI & Six Sigma Integration  Characteristics of high maturity organisations - how CMMI & LSS integration can improve product quality, processes, bottom line and customer satisfaction Anand Subramaniam
2 “Wisdom doesn't automatically come with old age. Nothing does - except wrinkles. It's true, some wines improve with age. But only if the grapes were good in the first place.”  - Abigail Van Buren
CMMI / LSS - Overview
Project - Waste & Application to IT 4 Overproduction Extra features or features that no one uses Transportation Building the wrong thing, waiting for copy Motion Task Switching, walking, searching for info, manually done when it can be automated Inventory Partially done work, not released for further activity, Waiting Equipment/resource not working, Waiting for info../ work completion Over-processing Documentation/unused artifacts, code that not part of final product, Unnecessary meetings Defects Defects, Rework Unused employee creativity Patterns and solutions identified not implemented
Competitive Advantage 5 CMMI To  measure, monitor & manage processes s Six Sigma To deliver value & develop a sustainable competitive advantage Knowledge Management To utilise data, transform it into knowledge  to enable informed decision making
Six Sigma Methodology DFSS  (Design For Six Sigma) Methodology for the design of new products or services, with a six sigma capability and performance DMAIC  (Define, Measure, Analyse, Improve & Control) Improvement methodology for existing processes & performance
DMAIC – Techniques & Tools Define Analyse Measure Control Improve What is important? How are we doing? What is wrong? What needs to be done? How do we guarantee performance? ,[object Object]
Decompose processes into sub-processes
Specifying customer satisfaction goals / sub-goals
Identify relevant metrics
Performance measurement -  throughput, quality
Cost , resource
Response times, cycle times, transaction rates, frequencies
Evaluate data  / information - trends, patterns, causal factors, root cause
Determine candidates for improvements
Prototype initial improvement
Measure & compare results with simulation results
Iterations taken between DMA  steps to achieve the target level of performance
Ensure measure-ments are put into place to maintain improvements
Benchmarking
Baseline
Voice of Customer / Business
Quality Function Deployment
Flow chart, Check Sheets, Pareto diagrams, Cause/Effect diagrams, Histograms, SPC
Defect Metrics
Data Collection Forms, Plan, Logistics

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CMMI & Six Sigma Integration

  • 1. CMMI & Six Sigma Integration Characteristics of high maturity organisations - how CMMI & LSS integration can improve product quality, processes, bottom line and customer satisfaction Anand Subramaniam
  • 2. 2 “Wisdom doesn't automatically come with old age. Nothing does - except wrinkles. It's true, some wines improve with age. But only if the grapes were good in the first place.” - Abigail Van Buren
  • 3. CMMI / LSS - Overview
  • 4. Project - Waste & Application to IT 4 Overproduction Extra features or features that no one uses Transportation Building the wrong thing, waiting for copy Motion Task Switching, walking, searching for info, manually done when it can be automated Inventory Partially done work, not released for further activity, Waiting Equipment/resource not working, Waiting for info../ work completion Over-processing Documentation/unused artifacts, code that not part of final product, Unnecessary meetings Defects Defects, Rework Unused employee creativity Patterns and solutions identified not implemented
  • 5. Competitive Advantage 5 CMMI To measure, monitor & manage processes s Six Sigma To deliver value & develop a sustainable competitive advantage Knowledge Management To utilise data, transform it into knowledge to enable informed decision making
  • 6. Six Sigma Methodology DFSS (Design For Six Sigma) Methodology for the design of new products or services, with a six sigma capability and performance DMAIC (Define, Measure, Analyse, Improve & Control) Improvement methodology for existing processes & performance
  • 7.
  • 11. Performance measurement - throughput, quality
  • 13. Response times, cycle times, transaction rates, frequencies
  • 14. Evaluate data / information - trends, patterns, causal factors, root cause
  • 17. Measure & compare results with simulation results
  • 18. Iterations taken between DMA steps to achieve the target level of performance
  • 19. Ensure measure-ments are put into place to maintain improvements
  • 22. Voice of Customer / Business
  • 24. Flow chart, Check Sheets, Pareto diagrams, Cause/Effect diagrams, Histograms, SPC
  • 26. Data Collection Forms, Plan, Logistics
  • 27. Cause / Effect diagram
  • 28. Failure Modes & Effects Analysis
  • 29. Decision & Risk Analysis
  • 37. Statistical Control - Control Charts, Time Series methods
  • 38.
  • 39. CMMI Levels – Risk / Quality 9 Lvl 5 - Optimised Low High Continuously Improve Process Lvl 4 – Quantitatively Managed Measured Predictable Process Lvl 3 - Defined Standard Productivity / Quality Risk Std Consistent Process Lvl 2 - Managed Planned & Tracked Maturity levels should not be skipped Disciplined Process Lvl 1 - Initial Performed Lvl 0 - Not performed High Low
  • 40.
  • 44. Defines the requirements of measurement & SPC
  • 45. Best practices for systems & software engineering, acquisition and integrated product & process development
  • 47.
  • 48. Data driven / improvement method
  • 49. Customer centric - VOC / VOB
  • 51. Prioritised improvement opportunities – casual data analysis
  • 52. Set of tools applicable to performing each process improvement activity
  • 53. Business orientation to process improvement
  • 54.
  • 55. Lvl 4 & 5 – Organisation Pre-requisites Follow defined project processes, specify how & when the data collected will be used, in managing the projects Gather &use meaningful data at all levels from individual, projects to the organisation itself Collect data at project level and elevate that data to the Organisational Measurement Repository for use by other projects / lessons learned Understand the types of variation that are present in all processes Pre-requisites Understand what constitutes meaningful & measurement data Consistently tailor project processes with the organisation’s std processes 12
  • 56. Integration – CMMI & Six Sigma Level 1 & 2: Impossible to achieve “defect free” at these levels Level 3: Possible to start applying Six Sigma Organisational Process Definition, Organisational Process Focus, Requirements Development, Risk Management, Validation, Verification Level 4 & 5: Leverage established measurement practices, further improve capabilities and process integrating both Organisational Process Performance Organisational Innovation and Deployment 13
  • 57.
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65. Level 4 - Drivers Project Performance stable processes & clean data Organisational Standard Process detailed SOP & which can be tailored Measurement Repository comparable projects, enough measures to stratify / analyse the data Drivers Project’s Defined Process project follow its process Customer & Project Objectives organisation’s process fit the project & customer objectives Organisational Performance Data & Models enough data points, useful baseline models 17
  • 66.
  • 68.
  • 69. Takes actions to prevent them from occurring in the futurePreventing defects and innovation (addressing common causes of variation)
  • 70. Lvl 5 - Drivers Innovative improvements - cause a major shift in process capability Potential improvements are analysed to estimate costs and benefits Incremental improvements – eliminate special causes of variation Drivers Improvements are piloted to ensure success Improvements are measured in terms of variation and mean Goals are quantitative (reduce variation by X%, reduce mean by Y%) 19
  • 71. CMMI & LSS – Process Roadmap Identify & Prioritise Opportunities Project Definition Document & Measure Current Reality Analyse Waste & Variation Improve & Innovate Implement & Validate Measure & Sustain Communicate & Acknowledge Success
  • 72. Lvl 4 & 5 - Customer Benefit 21 Causal analysis Project fixes the source of defects to prevent future defects Organisational process performance More accurate estimates Organisational innovation and deployment Project benefits from improvements found and proven on other projects Quantitative project management Problem behaviors are recognised faster, enabling quicker resolution
  • 73. 22 “This became a credo of mine...attempt the impossible in order to improve your work.” - Bette Davis
  • 74. Example – Project Evaluation 23
  • 75. Example - Process Evaluation Checklist 24
  • 76. 25 “If you have great talents, industry will improve them; if you have but moderate abilities, industry will supply their deficiency.” - Sir Joshua Reynolds
  • 77. 26 Good Luck http://www.linkedin.com/in/anandsubramaniam