chapter 10: principles of six sigma

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    MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, 2008 Thomson Higher Education Publishing 1

    Chapter 10

    Principles of

    Six Sigma

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    Key Idea

    Although we view quality improvement

    tools and techniques from the

    perspective of Six Sigma, it is important

    to understand that they are simply a

    collection of methods that have been

    used successfully in all types of quality

    management and improvementinitiatives, from generic TQM efforts, to

    ISO 9000, and in Baldrige processes.

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    Six-Sigma Metrics

    Defectany mistake or error that ispassed on to a customer

    Defects per unit (DPU)= number ofdefects discovered number of unitsproduced

    Defects per million opportunities

    (dpmo)= DPU 1,000,000 opportunities for error

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    Six-Sigma Quality

    Ensuring that process variation is half thedesign tolerance (Cp = 2.0) while allowing

    the mean to shift as much as 1.5 standard

    deviations, resulting in at most 3.4 dpmo.

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    Key Idea

    Although originally developed for

    manufacturing in the context of tolerance-

    based specifications, the Six Sigmaconcept has been operationalized to apply

    to any process and has come to signify a

    generic quality level of at most 3.4 defects

    per million opportunities.

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    k-Sigma Quality Levels

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    Problem Solving

    Problem: any deviation between what

    should be and what is that is important

    enough to need correcting Structured

    Semistructured

    Ill-structured

    Problem Solving: the activity associatedwith changing the state of what is to what

    should be

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    Quality Problem Types

    1. Conformance problems

    2. Unstructured performance problems

    3. Efficiency problems

    4. Product design problems

    5. Process design problems

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    Key Factors in Six Sigma

    Project Selection Financial return, as measured by costs

    associated with quality and process

    performance, and impacts on revenues andmarket share

    Impacts on customers and organizational

    effectiveness

    Probability of success

    Impact on employees

    Fit to strategy and competitive advantage

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    Problem Solving Process

    1. Redefining and analyzing the

    problem

    2. Generating ideas

    3. Evaluating and selecting ideas

    4. Implementing ideas

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    Key Idea

    A structured problem-solving process

    provides all employees with a common

    language and a set of tools tocommunicate with each other,

    particularly as members of cross-

    functional teams.

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    DMAIC Methodology

    1. Define

    2. Measure3. Analyze

    4. Improve

    5. Control

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    Common Six Sigma Tools

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    Define

    Describe the problem in operational

    terms

    Drill down to a specific problemstatement (project scoping)

    Identify customers and CTQs,

    performance metrics, and cost/revenueimplications

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    Measure

    Key data collection questions

    What questions are we trying to answer?

    What type of data will we need to answerthe question?

    Where can we find the data?

    Who can provide the data?How can we collect the data with minimum

    effort and with minimum chance of error?

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    Analyze

    Focus on why defects, errors, or

    excessive variation occur

    Seek the root cause

    5-Why technique

    Experimentation and verification

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    Improve

    Idea generation

    Brainstorming

    Evaluation and selection

    Implementation planning

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    Control

    Maintain improvements

    Standard operating procedures

    Training

    Checklist or reviews

    Statistical process control charts

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    Tools for Six-Sigma and

    Quality Improvement Elementary statistics

    Advanced statistics

    Product design and reliability

    Measurement

    Process control

    Process improvement Implementation and teamwork

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    Design for Six Sigma

    Focus on optimizing product and processperformance

    FeaturesA high-level architectural view of the design

    Use of CTQs with well-defined technicalrequirements

    Application of statistical modeling and simulationapproaches

    Predicting defects, avoiding defects, andperformance prediction using analysis methods

    Examining the full range of product performanceusing variation analysis of subsystems andcomponents

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    Key Idea

    All Six Sigma projects have three key

    characteristics: a problem to be solved,

    a process in which the problem exists,and one or more measures that quantify

    the gap to be closed and can be used to

    monitor progress.

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    Key Six Sigma Metrics in

    Services

    Accuracy

    Cycle time

    Cost

    Customer satisfaction

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    Lean Production and Six

    Sigma

    The 5Ss: seiri (sort), seiton (set in order),seiso (shine), seiketsu (standardize), andshitsuke (sustain).

    Visual controls Efficient layout and standardized work

    Pull production

    Single minute exchange of dies (SMED)

    Total productive maintenance

    Source inspection

    Continuous improvement

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    Traditional Economic Model of

    Quality of Conformance

    Total cost

    Cost due to

    nonconformanceCost of

    quality

    assurance

    optimal level of quality100%

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    MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE 7 2008 Th Hi h Ed ti P bli hi

    Modern Economic Model of

    Quality of Conformance

    Total cost

    Cost due to

    nonconformanceCost of

    qualityassurance

    100%