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    ORGANISATIONAL LEADERSHIP

    John Carlisle

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    3

    The Deming Chain Reaction

    # Improve

    Quality

    (ri ght fi rst

    time)

    Costs decrease

    because of less

    rework, fewer

    mistakes, fewer

    delays, rejects

    Stay in

    business ++

    Grow the market andmarket share.

    Provide jobs and

    more jobs.

    Capture the market

    with better quality

    and lower price

    Beginning Continual Improvement1.

    2. 3.

    4.

    5.

    6.

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    The Deming Chain Reaction

    # Improve

    Quality

    (ri ght fi rst

    time)

    Costs decrease

    because of less

    rework, fewer

    mistakes, fewer

    delays, snags

    Productivity &

    innovation

    improves because

    people not wasting

    time with reworketc.

    Stay in

    business ++

    Grow the market andmarket share.

    Provide jobs and

    more jobs.

    Capture the market

    with better quality

    and lower price

    Beginning Continual Improvement1.

    2. 3.

    4.

    5.

    6.

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    COMMUNICATING YOUR PRIORITIES

    Waiting times in A&E: 4 hours plus

    Target is less than 10%

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    Whats this?

    % waiting over 4 hours in A&Ebad

    good

    TARGETS - an example from the NHS

    %

    Week 12

    weeks

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    3 ways to hit your targets

    Improve the system

    Distort the system

    Distort the data

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    The week Trusts

    were measured forperformance

    ratings

    Suggest examples ofall 3 from your area

    of work

    % waiting over 4 hours in A&E

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    Case study #2: Housing repairs

    Example courtesy of John Seddon inFreedom from Command & Control

    COMMUNICATING YOUR UNDERSTANDING

    OF YOUR SYSTEM

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    The scenario

    A Local Authority manages a large stock of housing

    They manage repairs using 2 measures

    Budget

    Time to repair

    Time to repair is a government mandated BVPI (best valueperformance indicator) measured in %

    100% emergencies completed in 24 hrs

    80% urgents completed in 7 days 80% routines completed in 28 days

    The LA IS achieving all BVPIs!

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    System hunky dory?

    What does the customer want? (Nominal Value)

    Repair done quickly and properly

    How do we know if we are achieving this?

    Lets measure the end to end time from request to jobcomplete. That is what the customer cares about.

    But theres a problem the IT system couldnt providethe data, so we dont know they only had the BVPIpercentages, so had to track each job manually

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    SPC chart showing true performance

    Total Elapsed Time of Repairs

    0

    20

    40

    60

    80

    100

    120

    140

    1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49

    Consecutive jobs

    Daystocomplete

    Job time Average (31) UCL (85)

    Routinetarget

    28 days

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    Not so hunky dory

    Achieve targets by distorting the data & system

    Ignore if tenant is out

    Reclassifying emergencies as urgents

    Splitting a job into several, each one opened & closed

    Got a problem? Have a management restructure!

    Actually destabilised the system even more

    Total Elapsed Time of Rep airs

    0

    20

    40

    60

    80

    100

    120

    140

    1 3 5 7 9 11 1 3 15 1 7 19 2 1 23 2 5 27 2 9 31 3 3 35 3 7 39 4 1 43 4 5 47 4 9

    Consecutive jobs

    Days

    tocomplete

    Job time Average (31) UCL (85)

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    So what next?

    They understood the system was not capable

    They studied the processes and discovered

    40% failure demand at the call centre

    Tradesmen scheduling work to maximise earnings

    Queuing to get the right materials - delays

    Led to redesigning the processes

    Within weeks all repairs completed within 8 days

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    They didnt know they had a problem

    until they measured the right thing

    in the right wayand it was not!

    (MORE IMPORTANT, THEY DID NOT KNOW WHAT THESYSTEM* WAS CAPABLE OF UNTIL THEY RE-DESIGNED IT

    AROUND REAL NEEDS AND ACTUAL PERFORMANCE)

    * Their people and the processes

    YOUR SYSTEM CAPABILITY

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    And now its your turn

    Spend 3 minutes thinking on your own about whatyouve just heard write down

    Something you have learnt

    Something you want to try out

    Something you disagree with or question

    Spend the following 10 minutes discussing with a fellow

    participant

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    What have we been talking about?

    Why are we measuring and communicating?

    Please the owner and satisfy governance are top?

    Understand the system capability against nominal value?

    Continually improve (drive out waste and increase value)?

    How are we measuring ourselves?

    By how much kudos (notice) we get and money we make?

    By the truth of our inner voice?

    By the joy at work that we and our workforce experience? -which only comes from valuing our real customers

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    Want to find out more?

    Freedom from command and control John Seddon, VanguardPress, ISBN 0-9546183-0-0

    Understanding variation Don Wheeler, SPC Press,ISBN 0-945320-53-1

    Fourth Generation Management Brian Joiner, McGraw-Hill, ISBN 0-07-032715-7

    Making sense of data SPC for the service sector Don Wheeler,SPC Press, ISBN 0-945320-61-2

    The Goal Eli Goldratt & Jeff Cox, Gower,ISBN 0-566-07418-4

    The Goldmine Freddy & Michael Ball, The Lean EnterprisesInstitute, ISBN 0-9743225-6-3

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    What are we trying to

    accomplish?How will we know that a

    change is an improvement?What changes can we make thatwill result in the improvements

    that we seek ?

    Model for improvement

    Act Plan

    Study Do

    project aims

    global measurements

    change principles

    Source: Institute for Healthcare Improvement

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    The 3 reasons for measurement

    ImprovementImprovement of service

    Sequential tests

    Just enough data,small sequential

    samples

    Hypothesis flexible,

    changes as learning

    takes place

    Accept consistent

    variation

    Run charts or Shewhart

    control charts

    ResearchNew knowledge

    One large test

    Just in case data

    Fixed hypothesis

    Design to eliminate

    unwanted variation

    Statistical tests (t-test, F

    test, chi square), p

    values

    AspectAim

    Testing Strategy

    Sample Size

    Flexibility of hypothesis

    Variation (Bias)

    Determining if a change

    is an improvement

    JudgementAchievement,

    Benchmark, Choice

    No tests

    Obtain 100% ofavailable, relevant data

    No hypothesis

    Adjust measures to

    reduce variation

    No change focus

    Source: Robert Lloyd IHI 2006

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    3 ways to hit your targets

    Target is less than 10%

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    The week theTrusts were

    measured forperformance

    ratings

    % waiting over 4 hours in A&Ebad

    good

    TARGETS - an example from the NHS

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    Targets are OK as goals/aims

    As long as

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    How will we know change is an improvement?

    By understanding the variation that lives withinour data

    By making good management decisions on our

    improvement choices in the way we react tothat variation

    Source: Robert Lloyd IHI 2006

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    CONSTRUCTION INDUSTRY

    WASTE REDUCTION MODELApplied research based on 90 projects with over 150 companies.

    100%

    80%

    60%

    40%

    20%

    0%

    OverallCost

    byProject

    Customer

    Cost

    OLD WAY

    Customer

    Cost

    JCP NEW WAY

    Customer Waste

    Contractors

    Waste

    Contractors

    Cost

    Profit, if any!!

    Contractors

    Cost

    Profit

    Share

    Copyright John Carlisle, 1997, 2001

    Time and CostOverrun

    Win/lose Negotiations, e.g. buying the business,

    tenders, poor planning leading to, e.g., late on site,

    variations, claims etc.

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    Copyright John Carlisle Partnerships, 1997

    THE SYSTEM OF PROFOUND KNOWLEDGE

    (TURNING KNOWLEDGE INTO INTELLECTUAL CAPITAL)

    K

    N

    O

    W

    L

    E

    D

    G

    E

    EFFORT

    EFFORT

    Intellectual Capital

    Blaming and Defending

    External Relationship Failure

    Internal System and

    Relationship Failure

    CompetitivePolicies

    e.g. ranking, incentivising

    Feedback for Relationships

    and Systems Improvement

    Trust-Building

    CooperativePolicies

    e.g. Teamworking,

    profit-sharing

    Relationship Failures

    Intellectual Capital

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    Main_Idea

    Move from HIERARCHICAL/CONTROL THINKING.

    TRANSFORMATION

    SUPPLIERS CUSTOMERS

    FEEDBACK FROMCONSUMERS

    REDESIGN

    TO SYSTEM (Process Competent) THINKING.

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    TraditionalOrganisationHIERARCHYwhos in charge matters more than what is best

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    Copyright John Carlisle, 1997. Adapted from Baker Hughes Inteq

    Potential

    for Supplier/

    Contractor/

    User to Add

    ValueArea of Wasted Potential

    Involvement stage

    in traditional

    relationships

    Viability Managing the mess

    THE OPPORTUNITY CURVE

    Conceptual

    Design ExecutionFollow Up -

    Learning PointsDetailed

    DesignEvaluation

    Involvement stage

    in traditional

    relationships

    Upstream Downstream

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    Copyright John Carlisle, 1997/2001. Adapted from Baker Hughes Inteq

    Potentialfor Supplier/

    Contractor,

    Stakeholder

    to Add

    ValueIdentification

    Elimination

    Involvement stage

    in traditional

    relationships

    Concept Planning Implementation

    Planning

    Risk Management through Cooperation

    Conceptual

    Design ExecutionReview

    (blaming

    or learning)

    Detailed

    DesignBusiness Case

    Mitigation

    Risk (Impact)Risk (Uncertainty)

    DELIVERY

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