Introduction to Six Sigma

Loading...

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

0 comments

Post a comment

    Post a comment
    Embed Video
    Edit your comment Cancel

    1 Favorite

    Introduction to Six Sigma - Presentation Transcript

    1. Introduction to Six Sigma Purpose of six sigma : To make customer happier and increase profits
    2. Origin of Six Sigma
      • 1987 Motorola Develops Six Sigma
        • Raised Quality Standards
      • Other Companies Adopt Six Sigma
        • GE
          • Promotions, Profit Sharing (Stock Options), etc. directly tied to Six Sigma training.
      • Dow Chemical, Dupont, Honeywell, Whirlpool
    3. Time Line 2002 1995 1992 1987 1985 Dr Mikel J Harry wrote a paper relating early failures to quality Motorola Allied Signal General Electric Johnson & Johnson, Ford, Nissan, Honeywell
    4. Pilot’s Six Sigma Performance Width of landing strip 1/2 Width of landing strip If pilot always lands within 1/2 the landing strip width, we say that he has Six Sigma capability.
    5. Current Leadership Challenges
      • Delighting Customers.
      • Reducing Cycle Times.
      • Keeping up with Technology Advances.
      • Retaining People.
      • Reducing Costs.
      • Responding More Quickly.
      • Structuring for Flexibility.
      • Growing Overseas Markets.
    6. Six Sigma— Benefits?
      • Generated sustained success
      • Project selection tied to organizational strategy
        • Customer focused
        • Profits
      • Project outcomes / benefits tied to financial reporting system.
      • Full-time Black Belts in a rigorous, project-oriented method.
      • Recognition and reward system established to provide motivation.
    7. What can it do?
      • Motorola:
        • 5-Fold growth in Sales
        • Profits climbing by 20% pa
        • Cumulative savings of $14 billion over 11 years
      • General Electric:
        • $2 billion savings in just 3 years
        • The no.1 company in the USA
      • Bechtel Corporation:
        • $200 million savings with investment of $30 million
    8. GE Six Sigma Economics Source: GE Annual Report, Jack Welch Letter to Share Owners and Employees - progress based upon total corporation cost/benefits attributable to Six Sigma. 1996 1998 2000 2002 0 500 1000 1500 2000 2500 1996 Cost Benefit (in millions)
    9. Overview of Six Sigma PAIN, URGENCY, SURVIVAL COSTS OUT GROWTH TRANSFORM THE ORGANIZATION CHANGE THE WORLD 6 SIGMA AS A STATISTICAL TOOL 6 SIGMA AS A PHILOSOPHY 6 SIGMA AS A PROCESS
    10. Overview of Six Sigma
      • It is a Philosophy
        • Anything less than ideal is an opportunity for improvement
        • Defects costs money
        • Understanding processes and improving them is the most efficient way to achieve lasting results
      • It is a Process
        • To achieve this level of performance you need to:
        • D efine, M easure, A nalyse, I mprove and C ontrol
      • It is Statistics
        • 6 Sigma processes will produce less than 3.4 defects per million opportunities
    11. Management involvement?
      • Executives and upper management drive the effort through:
        • Understanding Six Sigma
        • Significant financial commitments
        • Actively selecting projects tied to strategy
        • Setting up formal review process
        • Selecting Champions
        • Determining strategic measures
    12. Management involvement?
      • Key issues for Leadership:
        • How will leadership organize to support Six Sigma ? (6  council, Director 6  , etc)
        • Transition rate to achieve 6  .
        • Level of resource commitment.
        • Centralized or decentralized approach.
        • Integration with current initiatives e.g. QMS
        • How will the progress be monitored?
    13. Philosophy
      • Know What’s Important to the Customer (CTQ)
      • Reduce Defects (DPMO)
      • Centre Around Target (Mean)
      • Reduce Variation (Standard Deviation)
    14. Critical Elements
      • Genuine Focus on the Customer
      • Data and Fact Driven Management
      • Process Focus
      • Proactive management
      • Boundary-less Collaboration
      • Drive for Perfection; Tolerance for failure
    15. Data Driven Decision Control Monitor Problem Symptom Cause Effect Input-Process Output Independent Dependent X1 . . . Xn Y f(X) Y=
    16. Two Processes
      • Define
      • Measure
      • Analyze
      • Improve
      • Control
      • Define
      • Measure
      • Analyze
      • Design
      • Verify
      DMAIC DMADV
      • Existing Processes
      • New Processes
      • DFSS
    17. Key Concepts
    18. COPQ (Cost of Poor Quality) - Lost Opportunities - The Hidden Factory - More Setups - Expediting Costs - Lost Sales - Late Delivery - Lost Customer Loyalty - Excess Inventory - Long Cycle Times - Costly Engineering Changes Average COPQ approximately 15% of Sales
      • Hidden Costs:
      • Intangible
      • Difficult to Measure
      • Traditional Quality Costs:
      • Tangible
      • Easy to Measure
      - Inspection - Warranty - Scrap - Rework - Rejects
    19. COPQ vs. Sigma Level Cost of Quality % Sales Sigma Level
    20. Process
      • A Process is a group of steps, tasks, or activities, which take inputs (People, Material, Information …..) and in some way change them to produce an output (Service, Product……)
      Xs Ys Step-1 Step-2 Step-3 Input Process Output
    21. CTQ (Critical-To-Quality)
      • CTQ characteristics for the process, service or process
      • Measure of “What is important to Customer”
      • 6 Sigma projects are designed to improve CTQ
      • Examples:
        • Waiting time in clinic
        • Spelling mistakes in letter
        • % of valves leaking in operation
    22. Defective and Defect
      • A nonconforming unit is a defective unit
      • Defect is nonconformance on one of many possible quality characteristics of a unit that causes customer dissatisfaction.
      • A defect does not necessarily make the unit defective
      • Examples:
        • Scratch on water bottle
        • (However if customer wants a scratch free bottle, then this will be defective bottle)
    23. Defect Opportunity
      • Circumstances in which CTQ can fail to meet.
      • Number of defect opportunities relate to complexity of unit.
      • Complex units – Greater opportunities of defect than simple units
      • Examples:
        • A units has 5 parts, and in each part there are 3 opportunities of defects – Total defect opportunities are 5 x 3 = 15
    24. DPO (Defect Per Opportunity)
      • Number of defects divided by number of defect opportunities
      • Examples:
        • In previous case (15 defect opportunities), if 10 units have 2 defects.
        • Defects per unit = 2 / 10 = 0.2
        • DPO = 2 / (15 x 10) = 0.0133333
    25. DPMO (Defect Per Million Opportunities)
      • DPO multiplies by one million
      • Examples:
        • In previous case (15 defect opportunities), if 10 units have 2 defects.
        • Defects per unit = 2 / 10 = 0.2
        • DPO = 2 / (15 x 10) = 0.0133333
        • DPMO = 0.013333333 x 1,000,000 = 13,333
      Six Sigma performance is 3.4 DPMO 13,333 DPMO is 3.7 Sigma
    26. What is Sigma?
    27. Have you ever…
      • Shot a rifle?
      • Played darts?
      What is the point of these sports? What makes them hard?
    28. Have you ever…
      • Shot a rifle?
      • Played darts?
      Who is the better shooter? Jack Jill
    29. Variability - Jack
      • Deviation = distance between observations and the mean (or average)
      Jill Jack 8 7 10 8 9 8.4 7 8 8 9 10 Observations 0.0 averages 7 - 8.4 = -1.4 8 - 8.4 = -0.4 8 - 8.4 = -0.4 9 - 8.4 = 0.6 10 - 8.4 = 1.6 Deviations
    30. Variability - Jack
      • Variance = average distance between observations and the mean squared
      Jill Jack 8 7 10 8 9 8.4 7 8 8 9 10 Observations 0.0 averages 7 - 8.4 = -1.4 8 - 8.4 = -0.4 8 - 8.4 = -0.4 9 - 8.4 = 0.6 10 - 8.4 = 1.6 Deviations 1.0 1.96 0.16 0.16 0.36 2.56 Squared Deviations
    31. Variability - Jill
      • Deviation = distance between observations and the mean (or average)
      Jill 7 6 7 7 6 Jack 6.6 6 6 7 7 7 Observations 0.0 averages 6 - 6.6 = -0.6 6 - 6.6 = -0.6 7 - 6.6 = 0.4 7 - 6.6 = 0.4 7 - 6.6 = 0.4 Deviations
    32. Variability - Jill
      • Variance = average distance between observations and the mean squared
      Jill 7 6 7 7 6 Jack 6.6 6 6 7 7 7 Observations 0.0 averages 6 - 6.6 = -0.6 6 - 6.6 = -0.6 7 - 6.6 = 0.4 7 - 6.6 = 0.4 7 - 6.6 = 0.4 Deviations 0.24 0.36 0.36 0.16 0.16 0.16 Squared Deviations
    33. Standard deviation
      • Standard deviation = square root of variance
      Jack Jill Jill Jack Standard Deviation Variance Average 0.4898979 0.24 6.6 1.0 1.0 8.4 But what good is a standard deviation ?
    34. Variability The world tends to be bell-shaped Most outcomes occur in the middle Fewer in the “ tails” (upper) Even very rare outcomes are possible Even very rare outcomes are possible Fewer in the “ tails” (upper) Quality Gurus .com
    35. “ Normal” bell shaped curve Normal distributions are divide up into 3 standard deviations on each side of the mean
    36. Causes of Variability
      • Common Causes:
        • Random variation within predictable range (usual)
        • No pattern
        • Inherent in process
        • Adjusting the process increases its variation
      • Special Causes
        • Non-random variation (unusual)
        • May exhibit a pattern
        • Assignable, explainable, controllable
        • Adjusting the process decreases its variation
    37. Limits
      • Process and Control limits:
        • Statistical
        • Process limits are used for individual items
        • Control limits are used with averages
        • Limits = μ ± 3σ
        • Define usual (common causes) & unusual (special causes)
      • Specification limits:
        • Engineered
        • Limits = target ± tolerance
        • Define acceptable & unacceptable
    38. Usual vs. Unusual, Acceptable vs. Defective Another View Center Process Reduce Spread The statistical view of a problem On-Target USL LSL LSL = Lower spec limit USL = Upper spec limit LSL USL Off-Target USL LSL Large Variation
    39. More about limits Good quality: defects are rare (C pk >1) Poor quality: defects are common (C pk <1) C pk measures “Process Capability” If process limits and control limits are at the same location, C pk = 1. LSL and USL = Lower and Upper Specification Limits / LPL and UPL = Lower and Upper Process Limits μ target μ target
    40. A Six Sigma Process
      • Predictably twice as good as what the customer wants
      1 12 2 3 4 5 6 7 8 9 10 11  LSL USL     1  1  1  1  1  1 
    41. Process shift allowed 2 3 4 5 6 7 8 9 12 10 11 1 LSL USL SD = 1 1.5 SD 1.5 SD
    42. Six Sigma Measurement Sigma DPMO 3 4 5 6 7 66810 6210 233 3.4 
    43. Six Sigma Measurement Sigma Defects numbers per million 1.5  500,000 2.0  308,300 2.5  158,650 3.0  67,000 3.5  22,700 4.0  6,220 4.5  1,350 5.0  233 5.5  32 6.0  3.4
    44. Components of Six Sigma
    45. Components of Six Sigma
      • Two components of Six Sigma
        • Process Power
        • People Power
    46. Process Power
    47. Approach Practical Problem Statistical Problem Statistical Solution Practical Solution
    48. DMAIC - simplified
      • D efine
        • What is important?
      • M easure
        • How are we doing?
      • A nalyze
        • What is wrong?
      • I mprove
        • Fix what’s wrong
      • C ontrol
        • Ensure gains are maintained to guarantee performance
    49. DMAIC approach D Define M Measure A Analyze I Improve C Control Identify and state the practical problem Validate the practical problem by collecting data Convert the practical problem to a statistical one, define statistical goal and identify potential statistical solution Confirm and test the statistical solution Convert the statistical solution to a practical solution
    50. Define D Define M Measure A Analyze I Improve C Control VoC - Who wants the project and why ? The scope of project / improvement (SMART Objective) Key team members / resources for the project Critical milestones and stakeholder review Budget allocation
    51. Measure D Define M Measure A Analyze I Improve C Control Ensure measurement system reliability Prepare data collection plan Collect data - Is tool used to measure the output variable flawed ?
      • - How many data points do you need to collect ?
      • How many days do you need to collect data for ?
      • What is the sampling strategy ?
      • Who will collect data and how will data get stored ?
      • What could the potential drivers of variation be ?
    52. Analyze D Define M Measure A Analyze I Improve C Control How well or poorly processes are working compared with - Best possible (Benchmarking) - Competitor’s Shows you maximum possible result Don’t focus on symptoms, find the root cause
    53. Improve D Define M Measure A Analyze I Improve C Control
      • Present recommendations to process owner.
      • Pilot run
      • Formulate Pilot run.
      • Test improved process (run pilot).
      • Analyze pilot and results.
      • Develop implementation plan.
      • Prepare final presentation.
      • Present final recommendation to Management Team.
    54. Control D Define M Measure A Analyze I Improve C Control Don’t be too hasty to declare victory. How will you maintain to gains made?
      • - Change policy & procedures
      • - Change drawings
      • Change planning
      • Revise budget
      • Training
    55. People Power Tell me, I forget. Show me , I remember. Involve me, I understand.
    56. 6  Training Master Black Belt Black Belts Green Belts Team Members / Yellow Belts Champions Mentor, trainer, and coach of Black Belts and others in the organization. Leader of teams implementing the six sigma methodology on projects. Delivers successful focused projects using the six sigma methodology and tools. Participates on and supports the project teams, typically in the context of his or her existing responsibilities.
    57. Champion
      • Plans improvement projects
      • Charters or champions chartering process
      • Identifies, sponsors and directs Six Sigma projects
      • Holds regular project reviews in accordance with project charters
      • Includes Six Sigma requirements in expense and capital budgets
      Champions
    58. Champion
      • Identifies and removes organizational and cultural barriers to Six Sigma success.
      • Rewards and recognizes team and individual accomplishments (formally and informally)
      • Communicates leadership vision
      • Monitors and reports Six Sigma progress
      • Validates Six Sigma project results
      • Nominates highly qualified Black Belt and/or Green Belt candidates
      Champions
    59. Master Black Belt
      • Enterprise Six Sigma expert
      • Permanent full-time change agent
      • Certified Black Belt with additional specialized skills or experience especially useful in deployment of Six Sigma across the enterprise
      Master Black Belt
    60. Master Black Belt
      • Highly proficient in using Six Sigma methodology (e.g., advanced statistical analysis, project management, communications, program administration, teaching, project coaching)
      • Identifies high-leverage opportunities for applying the Six Sigma
      • Basic Black Belt training
      • Green Belt training
      • Coach / Mentor Black Belts
      Master Black Belt
    61. Black Belt
      • Six Sigma technical expert
      • Temporary, full-time change agent (will return to other duties after completing a two to three year tour of duty as a Black Belt)
      Black Belts
    62. Black Belt
      • Leads business process improvement projects where Six Sigma approach is indicated.
      • Successfully completes high-impact projects that result in tangible benefits to the enterprise
      • Demonstrated mastery of Black Belt body of knowledge
      • Demonstrated proficiency at achieving results through the application of the Six Sigma approach
      • Coach / Mentor Green Belts
      • Recommends Green Belts for Certification
      Black Belts
    63. Green Belt
      • Six Sigma Project originator
      • Part-time Six Sigma change agent. Continues to perform normal duties while participating on Six Sigma project teams
      • Six Sigma champion in local area
      • Recommends Six Sigma projects
      • Participates on Six Sigma project teams
      • Leads Six Sigma teams in local improvement projects
      Green Belts
    64. Yellow Belt
      • Learns and applies Six Sigma tools to projects
      • Actively participates in team tasks
      • Communicates well with other team members
      • Demonstrates basic improvement tool knowledge
      • Accepts and executes assignments as determined by team
      Team Members / Yellow Belts
    65. Financial Analyst
      • Validates the baseline status for each project.
      • Validates the sustained results / savings after completion of the project.
      • Compiles overall investment vs. benefits on Six Sigma for management reporting.
      • Will usually be the part of Senior Leadership Team.
    66. Project Selection
    67. Sources of Projects
      • External Sources:
        • Voice of Customer
          • What are we falling short of meeting customer needs?
          • What are the new needs of customers?
        • Voice of Market
          • What are market trends, and are we ready to adapt?
        • Voice of Competitors
          • What are we behind our competitors?
    68. Sources of Projects
      • Internal Sources:
        • Voice of Process
          • Where are the defects, repairs, reworks?
          • What are the major delays?
          • What are the major wastes?
        • Voice of Employee
          • What concerns or ideas have employees or managers raised?
          • What are we behind our competitors?
    69. Harvesting the Fruit of Six Sigma - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sweet Fruit Design for Repeatability Process Enhancement Bulk of Fruit Process Characterization and Optimization Low Hanging Fruit Seven Basic Tools Ground Fruit Logic and Intuition - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    70. What Qualifies as a Six Sigma Project
      • Three basic qualifications:
        • There is a gap between current and desired / needed performance.
        • The cause of problem is not clearly understood.
        • The solution is not pre-determined, nor is the optimal solution apparent.
    SlideShare Zeitgeist 2009

    + Sandeep KumarSandeep Kumar Nominate

    custom

    415 views, 1 favs, 0 embeds more stats

    Introduction to Six Sigma

    More info about this document

    © All Rights Reserved

    Go to text version

    • Total Views 415
      • 415 on SlideShare
      • 0 from embeds
    • Comments 0
    • Favorites 1
    • Downloads 69
    Most viewed embeds

    more

    All embeds

    less

    Flagged as inappropriate Flag as inappropriate
    Flag as inappropriate

    Select your reason for flagging this presentation as inappropriate. If needed, use the feedback form to let us know more details.

    Cancel
    File a copyright complaint
    Having problems? Go to our helpdesk?

    Categories