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Applications of System Dynamics Applications of System Dynamics Jim Hines Jim Hines MIT MIT www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in 1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in WWW.BSSVE.IN
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  • Applications of System DynamicsApplications of System Dynamics

    Jim HinesJim HinesMITMIT

    www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

    1www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in

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  • AgendaAgenda

    •• How can you help a clientHow can you help a client•• The Big EnchiladaThe Big Enchilada•• The Standard MethodThe Standard Method

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  • How Can You Help a Client?How Can You Help a Client?(Objectives of An SD Effort)(Objectives of An SD Effort)

    •• Point predictionPoint prediction•• Managing betterManaging better

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  • Point prediction: ExamplesPoint prediction: Examples

    •• Litigation (Litigation (RetrodictionRetrodiction))•• Commodities MarketsCommodities Markets•• Contract bidContract bid

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  • Point Prediction: ProblemsPoint Prediction: Problems

    •• DifficultDifficult•• Risky: Benefit comes only at the endRisky: Benefit comes only at the end•• Less useful than commonly believed: “If I Less useful than commonly believed: “If I

    only knew what was going to happen, only knew what was going to happen, managing would be simple”managing would be simple”–– Simple cases: Litigation, financial speculationSimple cases: Litigation, financial speculation–– Tough cases: You want to Tough cases: You want to change change the futurethe future

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  • Managing Better: ExamplesManaging Better: Examples

    •• Overtime policyOvertime policy•• Pricing policyPricing policy•• Capacity expansionCapacity expansion

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  • Managing Better: ProblemsManaging Better: Problems•• Hard to sellHard to sell

    –– Clients often pose their problem as one of Clients often pose their problem as one of predictionprediction

    –– Difficult to explain what a policy is in the Difficult to explain what a policy is in the abstractabstract

    •• Difficult to appreciate what you’ve learnedDifficult to appreciate what you’ve learned–– “I knew it all along”“I knew it all along”

    •• Often no cleanOften no clean--cut finish to the projectcut finish to the project

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  • Difficult to recall what you got out of the Difficult to recall what you got out of the processprocess

    Recommendation Phase 1 Phase 2 Impact

    Outsource Receivables X

    Use Hedging & Futures markets X X

    Tighten Customer payment & credit policies X - Change or abandon CFCT measurement X More reliable demand forecasting X X + Reduce target inventories & accept increased risk X Reduce Time to ramp up flywheel sales X + Faster planning cycle X Improved dialogue & communication with all stakeholders X + Improved (graphical) interfaces for managing planning cycle X Incorporate dynamic models in planning practices X Improve customer service metrics & feedback +

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  • Why Its Tough to Realize What Why Its Tough to Realize What You’ve Learned You’ve Learned

    BeforeBefore AfterAfter

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  • The Big EnchiladaThe Big Enchilada

    •• ““Small” Policy Model Small” Policy Model –– Understand dynamics of issueUnderstand dynamics of issue–– Create and explore policiesCreate and explore policies

    •• “Big” calibrated model“Big” calibrated model–– More precisely, when should we do XMore precisely, when should we do X–– More precisely, how much should we do XMore precisely, how much should we do X–– More precisely, what is the benefit of XMore precisely, what is the benefit of X

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  • System Dynamics

    Insight

    Calibrating

    The Big Enchilada

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  • CalibratingCalibrating

    Data

    TuningPrediction

    Calibrating

    Insight

    Calibrating

    The Big Enchilada

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  • Insight: Modeling

    Modeling

    Analysis

    Insight

    CalibratingData

    TuningPrediction

    Insight

    Calibrating

    The Big Enchilada

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  • Insight: AnalysisInsight: Analysis

    CalibratingData

    TuningPrediction

    Insight

    Calibrating

    The Big Enchilada

    Modeling

    Analysis

    Insight

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  • Insight: Modeling breakdownInsight: Modeling breakdown

    Insight

    Calibrating

    The Big Enchilada

    Modeling

    Analysis

    Insight

    Modeling

    CalibratingData

    TuningPrediction

    Loops & ModelsInfo GatherModeling

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  • Danger of big enchilada: Danger of big enchilada: Inadequate time and resourcesInadequate time and resources

    •• Fast modelingFast modeling•• Skip model analysisSkip model analysis•• Skip data examinationSkip data examination

    Concentrate on getting a model that fits the Concentrate on getting a model that fits the datadata

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  • The Standard MethodThe Standard Method

    •• Reference modesReference modesCausal loop modelCausal loop model

    •• Simulation ModelSimulation ModelAnalyzing model

    Creating and exploringCreating and exploringInsights and PoliciesInsights and Policies

    Analyzing model

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  • The Standard Method (detail)The Standard Method (detail)•• 1)1) Problem definitionProblem definition

    –– a)a) List of variablesList of variables–– b)b) Reference modes Reference modes –– c)c) Problem statementProblem statement

    •• 2)2) Momentum policiesMomentum policies•• 3)3) Dynamic hypothesesDynamic hypotheses•• 4)4) Model first loopModel first loop•• 5)5) Analyze first loopAnalyze first loop•• 6)6) Model second loopModel second loop•• 7)7) Analyze second loopAnalyze second loop•• 8)8) Etc.

    Insights and Insights and PoliciesPolicies

    Etc.www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • Guiding the Initial FocusGuiding the Initial Focus

    •• Important to team members (so you get Important to team members (so you get their time)their time)

    •• Dynamic (i.e. reference mode)Dynamic (i.e. reference mode)•• Enough time to work it without panic, not Enough time to work it without panic, not

    so much time that there is no conclusionso much time that there is no conclusion

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  • Burlington Resources Canada-MIT Alliance

    By: Chen-Wen Huang & David Miller

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  • Client: Burlington Resources Canada

    BRC is headquartered in Calgary with a staff of 700 employees. It is one of the major producers in the Western Canadian Sedimentary Basin, which provides about 15% of North America’s natural gas.

    Major acquisition in 01 and 02, 800 wells planned for 03, and 5%~8% growth rate target.

    The basin is maturing, which means declining reserve. Yet profitability is still healthy due to high gas prices and improving technology

    Q: proactive measures that can help them weather possible limitation to growth in the near future

    (Courtesy of Burlington Company. Used with permission.)www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • Our ContactsThe People

    George: Consultant and system dynamicistRoy: Manager, Reserves Jeff: Head of Planning Colleen: Commercial AnalystRob: Head of Engineering Tom: Management Team

    The ProcessWeekly conference call, along with web-based conferencing

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  • The Most Valuable Pieces of Information BRC walks away with:

    To increase the number of licenses for drilling, you need to apply for fewer licenses.

    The more months of inventory you try to create, the fewer resources you need to do so.

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  • What are they afraid of?Fear

    F&D Costs

    Revised

    Hope

    “Don't see fear really happening … WCSB still has ‘a sh*tload’ of gas economically recoverable (90 Trillion Cubic Ft).

    (Courtesy of Burlington Company. Used with permission.)www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • But, how hard will it be to obtain licenses to drill?

    FearHope

    Expect

    1950 2004 2020

    Barriers to Development(e.g. effort per well to get license)

    BRC continues to follow industry average

    BRC makes mistakes and increased barriers erode competitive advantage

    BRC substantially outperforms industry

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  • More or Better?

    Burlington has $15+ Million to invest in “improvement activities”

    Where/how to invest it?Choices:

    Opportunity Development greater inventory of potential sites ready for license applicationProcess Improvement better internal process for license application

    Which would lead to lower Barrier to Development? (reduced effort per well to receive license)

    (Courtesy of Burlington Company. Used with permission.)www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • Loop Description of the Problem

    Error RateError Count

    Licensing Time

    DesiredApplication Rate

    Desired ResourceUtilization

    +

    +

    +

    +

    R

    Rig-ReadyShortage+

    Rig-ReadyInventory

    -

    -

    error delayingapproval

    +

    +

    + +

    +

    -

    -

    ResourceCapacity

    -

    -

    R

    error reducingcapacity

    -

    -

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  • Policy lever: ‘Diligence’

    First discussed in detail during 6th week“Each non-diligence increases enforcement regulation”“As you exceed company’s capacity, errors increase”

    ‘Diligence’ is about quality over quantityTaking more time to do environmental studiesWorking slower, but better

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  • Error RateError Count

    Licensing Time

    DesiredApplication Rate

    Desired ResourceUtilization

    +

    +

    +

    +

    R

    Rig-ReadyShortage+

    Rig-ReadyInventory

    -

    -

    error delayingapproval

    Loop Description of Strategy #1:

    ResourceCapacity

    -

    -

    R

    error reducingcapacity

    Diligence

    -

    Reputation+

    -

    -

    +

    +

    +

    +

    +

    -

    -

    - -

    +

    -

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  • Seasonality in Drilling Schedule

    monthly drilling schedule

    0

    50

    100

    150

    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    wel

    ls

    The number of wells drilled depends strongly on season. (ground condition, soil condition, environmental regulations)This translates to fluctuation in the Rig-Ready Inventory

    3 month inventory

    0

    100

    200

    300

    400

    500

    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    wel

    ls

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  • Loop Description of Strategy #2:

    LicenseExpiration

    +

    +

    Error RateError Count

    Licensing T ime

    DesiredApplication Rate

    Desired ResourceUtilization

    +

    +

    +

    +

    ResourceCapacity

    -

    -

    R

    R

    Diligence

    -

    Rig-ReadyShortage+

    Reputation+

    -

    Rig-ReadyInventory

    -

    -

    error reducingcapacity

    error delayingapproval

    -

    Time tofulfill

    shortage

    --

    DesiredRig-ReadyInventory

    ++

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  • BRC Takes the Advice to Heart:

    “Never, ever, ever decrease your diligence, esp. when under pressure”

    “Appropriate for licensing group to have rules oriented culture”

    “Have to be very cognizant of forward look to get inventory where you want it”

    “I want to go show this to x in service”

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  • Consulting Process:

    Standard Method Standard MethodStandard Method Standard MethodStandard Method Standard MethodStandard Method Standard MethodStandard Method Standard MethodStandard Method Standard MethodStandard Method Standard Method

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  • • · Reserve Distribution (over time)• · Oil Company Profits• · Commodity Price• · Production Decline• · Royalties• · Drilling cost per meter• · Completion Technologies• · Drilling Technology• · Seismic Technique• · Visualization Technologies• · Proven Reserves• · Drilling Rig Availability• · Gas Storage Potential• · Transportation Cost• · Pipeline Capacity• · Infrastructure Cost over time• · Infrastructure Density• · Environmental Considerations• · Public Opinion• · Access Difficulty• · Approval Time• · Price of byproducts• · Kyoto• · Federal & Provincial Politics• · Carbon Taxes• · Tax incentives• · Alternate Methane Sources• · US/Can Exchange Rate• · US Protectionism• · Demand for Natural Gas• · Seasonality• · Cost of Substitutes• · Geographical Distribution of remote reserves• · Concentration of mineral rights• · Industry concentration• · Area concentration• · Explore vs.. Harvest mentality• · Rate of Acquisition• · Finding & Development Cost• · Cost of LNG

    · Capital Stock turnover· Climate Change· Market perception· Skilled labour supply· Public Opinion (for investment)· Resources for R&D· Resources for Marketing· Resources for…..· Regulatory overhead (&oversight)· Terrorism· Alternate Energy supply & cost· Non-hydrocarbon energy sources· Conservationism· Price volatility· Deregulation· Basin connectivity· Switching Cost· Diversion of Natural Gas from Market to Oil Production· Energy Efficiency Technologies· Public expectation of comfort· Geopolitical forces· Cost of Mineral Rights· Cost of finding reserves vs. buying companies· Barriers to Development· Global Impact· Cost of Steel· Cost of waste disposal· Water Consumption· Process Efficiency· General & Administrative Costs· Share Price· Cost of Capital· Company Revenue· Company Profit· ROCE· Corporate Structure· Nationalism· Security of Supply· Market share of Natural Gas for Energy vs.. Petrochem feedstock· Fuel Switching

    More th

    an enou

    gh varia

    bles…

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  • The Ever-Evolving Reference Mode—modification made after tracing the causal loops constructed

    Profits

    Profits spike due to short term high prices, then a profitability squeeze caused by demand decline and high F&D costs

    Profits have been healthy, but cyclical due to commodity cycle

    Expected

    Feb 25

    1950 2004 2020

    March 15 BRC Profits fromWCSB

    BRC suffers setbacks, falls behind local competitors,

    exits WCSB

    ExpectedBRC in WCSB and its

    predecessors POCO and CdnHunter

    Hope

    Fear

    Strategic investments secure high & relatively

    stable profits

    2004 2020

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  • Profits 0 Total Costs 0

    Finding Cost 0

    +

    Basin Maturity 0

    +

    PsychologicalAcceptance of higher

    costs 0

    +

    +

    -

    costacceptance

    B - Profit balan

    cingFindingCost

    Number ofreserves found

    Activity Level

    Technology/Efficiency

    Appetite for risk

    Demand/ProductionRequired

    InvestorPerception

    Capital Generation

    CapacityUtilization

    Big Servings of Spaghetti !!!

    Political Support

    Rate ofDevelopment

    Oilco OperatingDiligence

    Type of Development(e.g. Sour Gas)

    Perceived impact onpeople & environment

    Royalty Revenues

    Oilco employment

    Oilco Lobbying

    Company Image Oilco Costs

    DevelopmentDelays

    - +

    Individual CompanyRegulatory Scrutiny

    Degree ofRegulation

    Gov't Incentives

    Demand for Gas

    AB EconomicActivity

    DecliningResource

    -Weather

    General EconomicActivity

    PoliticalSupport.

    Gas Prices

    Profits

    Cost for services

    Costs

    Regulations(environmental)

    Finding Cost

    D&A Costs

    Technologyadvances

    +

    -

    Supply of gas

    demand forservices

    Substitutes for gas

    Cost of providingsubstitutes

    -

    -

    demand for gas

    +

    +

    +

    +

    +

    +

    -

    +

    OperationalActivity

    Avg experience ofworkers

    Accident rate

    Unit Costs+

    - -

    +

    +

    InfrastructureDevelopment+

    +

    +

    -

    Basin Maturity

    +

    PsychologicalAcceptance of higher

    costs

    +

    +

    -

    -

    +

    demandecon

    supplyecon

    Substituteprofusion

    Tech tothe

    rescue

    costaccepta

    nce

    Profitbalanci

    ng

    +

    Profit &Cost

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  • Homemade Remedy to Complexity—Rank the Importance of the Sub-Loops Bringing the Clients Back to Focus

    Profits 0 Total Costs 0

    Finding Cost 0

    +

    Basin Maturity 0

    +

    PsychologicalAcceptance of higher

    costs 0

    +

    +

    -

    costacceptance

    B - Profit balan

    cingFindingCost

    Number ofreserves found

    Activity Level

    Technology/Efficiency

    Appetite for risk

    Demand/ProductionRequired

    InvestorPerception

    Capital Generation

    CapacityUtilization

    Finding Cost 0 2

    Investor PerceptionReinforcing Costs

    Number ofreserves found 1

    Activity Level 1

    +

    Technology/Efficiency1

    Demand/ProductionRequired 1

    -

    InvestorPerception 1-

    CapitalGeneration 1

    +

    +

    R

    Finding Cost 0 1

    PsychologicalAcceptance of higher

    costs 0 1

    +

    +cost

    acceptance

    Psychological acceptance of higher costs

    Profits 0 3

    Total Costs 0 4

    -

    Technology/Efficiency4

    Appetite for risk 4 +

    +

    -

    R

    Technology to the rescue

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  • Reference Mode Sub-Loop George Roy Jeff RatingProfits & Costs Supply and Demand 10 9 9 28Profits & Costs Effects of the supply and demand 8 9 9 26Profits & Costs Substitute Profusion 8 7 8 23Profits & Costs Operational Costs 6 6 7 19

    Finding Costs Investor Perception reinforcing costs 5 8 5 27Finding Costs Technology to the rescue 7 10 10 24Finding Costs Basin Maturity 7 5 6 23Finding Costs Profit Balancing Costs 6 8 8 22Finding Costs Declining Area Dynamics 9 6 8 22Finding Costs Activity Level 8 9 7 21Finding Costs Psych acceptance of higher costs 9 7 5 18Finding Costs Capacity Utilization Balancing Costs 7 7 8 18

    Political Support Royalty Revenues 8 8 7 24Political Support Environmental Impact 8 9 6 23Political Support Economic Activity 7 7 10 23Political Support Oilco Costs 6 5 5 23Political Support Regulatory Scrutiny 6 8 7 21Political Support Operating Diligence 8 7 8 16

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  • Sub-Loop Rankings

    15

    17

    19

    21

    23

    25

    27

    29

    Supp

    ly an

    d Dem

    and

    Effec

    ts of

    the su

    pply

    and d

    eman

    d

    Subs

    titute

    Profu

    sion

    Opera

    tiona

    l Cos

    ts

    Inves

    tor P

    ercep

    tion r

    einfor

    cing c

    osts

    Tech

    nolog

    y to t

    he re

    scue

    Basin

    Matu

    rity

    Profi

    t Bala

    ncing

    Cos

    ts

    Declin

    ing Ar

    ea D

    ynam

    icsAc

    tivity

    Leve

    l

    Psyc

    h acc

    eptan

    ce of

    high

    er co

    sts

    Capa

    city U

    tilizati

    on Ba

    lancin

    g Cos

    tsRo

    yalty

    Rev

    enue

    s

    Envir

    onme

    ntal Im

    pact

    Econ

    omic

    Activ

    ityOi

    lco C

    osts

    Regu

    latory

    Scrut

    iny

    Opera

    ting D

    iligen

    ce

    CombinedRanking

    It became clear that our clients had their focus on factors which they could not control; this brought everyone’s attention back to relevant AND controllable policy levers against errors !!!

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  • We Learned from the Client Reception of the Different Generations of Models that…

    Model need not reflect operational details of client. In fact, our clients resisted model version 1.0 initially due to too much operational detail.

    At the end, we had to remind the clients that the model is not reality and should not be used to generate magical numbers for policy-making.

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  • Finally…Finally…

    It's hard letting go of our baby at the end!

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  • Last but not Least…Last but not Least…

    “I would like your mailing addresses so we can send you a small token of appreciation.”

    -George CoppusMay 12th, 2004

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  • Cost and Schedule Overruns in NASA Programs

    Analysis and Recommendations

    May 2004MIT Sloan System Dynamics 15.875

    Alex Denissov, Tina Laforteza, Jay Wynnwww.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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    cc_lkumarNoteI like the backgroundCan’t use NASA logo?Add picturesAdd: An agenda slide after thisClient reactions during the studyRecommendations- A word on spiral development - effectively a real options plan. There is the option to quit - insight!Insights for the classWhere the project is headed now

    Insight: Spiral development for NASA is actually real options, but people don’t think about the option of not proceeding. There is an implicit decision made already.End with the question: Why have people in space? Just to end on a semi-controversial note.

  • AGENDA

    • Prologue: Insights from the class

    • Project Background: Congressional Frustrations

    • Problem: Cost and Schedule Overruns

    • Insights: Layers of Influence and Control

    • Recommendations

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  • Insights from the Class

    • Standard Method– correct definitions help– “less is more”– genius is simple

    • Process Consultation– permanent feedback is key– 10 “mini-clients” vs. 1 “mega-client”– rule of diminishing returns

    • Systems Dynamics and Modeling– process vs. result– start with simple and add complexity– one loop at time

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • 15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

    Donald Peterson Colonel, USAF, Ret. & NASA astronaut, STS-6

    “...contrary to publicly released findings, it's becoming clear that the Challenger and Columbia accidents were not caused by careless preflight processing or poor real time decisions in Mission Control, but rather by intrinsic, serious design flaws built in from the beginning, that made the Shuttle vulnerable and are proving extremely hard to fix...

    ...I am getting the feeling that NASA is like a high strung, poorly conditioned, racehorse; strong out of the gate but not a good finisher. You seem to be very interested in starting out the gate to create new, exciting programs and build impressive high performance vehicles, but lacking in stamina and often stopping before you reach a satisfactory finish line. Your philosophy seems to be "...let's build something exciting and figure out what to do with it later..." There is no continuity in your programs; they have all been "giant leaps" followed by cancellations. And don't try to sell me on "spin-offs"; that's like keeping a high priced racehorse to get fertilizer.

    ...if you feel all the things that humans have done in the past on the moon and in low earth orbit are not worth continuing, why do you believe that humans on Mars will accomplish things that are worth the cost?”

    (http://www.spaceref.com/news/viewnews.html?id=952)www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • Congressional Frustrations

    • Our client: Bill Adkins, Staff Director for U.S. Congress House of Rep. Subcommittee on Space

    • NASA programs involving manned spaceflight have historically fallen short in meeting promises

    • Fear for new space initiative involving the Crew Exploration Vehicle (CEV) akaProject “Constellation”

    • General concern in Congress regarding NASA’s management capabilities for allprograms, not just CEV.

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • Space Shuttle Program

    Cost & Schedule Overruns in NASA Programs Are the Norm, Not the Exception

    PLAN

    Expected to fly 50x per year @ $50 million per flight.

    ACTUAL

    Peaked at 9 flights in 1985, costs $500 million per flight

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • RLV (X-33)

    Cost & Schedule Overruns in NASA Programs Are the Norm, Not the Exception

    PLAN

    Goal: reduce launch cost by order of magnitude

    Spent $1 billion on development.

    ACTUAL

    Cancelled before first prototype was completed

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • International Space Station

    Cost & Schedule Overruns in NASA Programs Are the Norm, Not the Exception

    PLAN

    Original 1984 plan: fully operational by 1992 at cost of $8 billion.

    ACTUAL

    Today: hope to reach full operations by 2008, est cost of $100 billion

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • What’s Causing These Overruns?

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

    Poor financial management systems

    Cost-plus contract structures

    Election cycles & changing priorities

    Cultural aversion to failure

    Complexity of international cooperation

    Focus on development vs operations

    Inadequate attention to iterative testing

    Changes in the marketplace

    Incumbent power of legacy programs

    Lack of consensus on program goals

    Culture of field-center “fiefdoms”

    Political drivers supersede rational management

    Union rules & Federal regulations limit workforce flexibility

    Inadequate lessons learned process

    Commercial market draws away best talent

    Managerial myopia creates long-term problems

    Poor cost analysis & estimation capabilities

    Aging workforce - declining experience baseMisaligned incentive systems

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  • Externalities

    Execution

    Planning

    PLANNING• Cost analysis capabilities• Past lessons learned• Acquisition strategy• Duopoly factors• Incumbent’s curse• Legacy program power• Budget expectations• Managing optimism

    EXECUTION• Requirements controls• Phase-level optimization• Managerial incentives• Stovepipe organizations• Measurement systems• Human resources• Cultural Issues

    EXTERNALITIES• Election cycle instability• Political drivers• Multi-party process• Market volatility

    Key Insight: Layers of Influence & Control

    Everything has to align for projects & programs to succeed.

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • Inadequate project cost and schedule estimation capabilities

    • Lack of accurate cost estimates – question of both ability to make good estimates and incentives to make them accurate

    • Inadequate project cost and schedule estimation capabilities -- lack the skills and/or resource base necessary to generate accurate estimates

    • Inadequate support infrastructure – esp. financial management and lessons learned / knowledge management systems – hinder effective project management, esp. over long-term multi-year efforts

    • Genuine but misinformed optimism leads to underestimation of technical challenges and overestimation of RDT&E capabilities

    Planning

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • “Willful Ignorance” towards target achievability

    • Cost-plus contract structure allows firms to underbid up front and make up for it through later contract additions and modifications

    • Culture encourages “liar’s club” behavior; everyone wants to hit aggressive targets, no one wants to say it can’t be done

    • Legacy programs absorb resources in essentially flat budget environment; new programs must accept low budget just to get started

    Planning

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • Program Myopia: Short-Term Optimization Drives Long-Term Overruns

    • Each phase carries associated Cost, Schedule, Requirements, and Risk

    • Managing cost, schedule and requirements at the phase level may (and often does) increase risk at the project level

    • For example, controlling development costs may increase production and/or operations costs

    • Furthermore, controlling costs may increase risk of failure, and failure carries a cascade of associated costs (investigation, redesign, testing, new production, etc)

    Execution

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • Need for Measuring the“Right Things”

    • When it’s not measured, it can’t produce feedback to correct itself

    • Estimate of total lifecycle cost

    • Actual progress: “I’ve spent 50% of the budget, so I must be 50% complete” (Not an actual quote)

    • Budget

    Execution

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • ExecutionPermitting / Enabling Scope

    CreepHonest Mistakes:

    Lack of genuine unified project authority limits ability to control requirements & respond appropriately to new data and changing circumstances

    Willful Ignorance:Multi-party process with varying objectives & motivations virtually guarantees sub-optimal project management (President vs Congress vs Agency vsContractors)Lack of clearly defined rationale/justification for human spaceflight will create ongoing challenges for any & all new initiatives until the question is resolved

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • Externalities

    Multiple Parties Drive Programs

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

    • Congressional pressures & election cycles

    • Presidential attention & election cycles

    • Industry forces (politics, multiple constituencies)

    • Major projects take decades and the persons who make the influential decisions operate on a much shorter time scale

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  • RecommendationsPlanning

    Build world-class internal cost & schedule estimation capabilities at the HQ level; benchmark against industry standards

    ContractingMove toward award-fee compensation: payment and/or bonuses upon successful achievement of operational targets

    Life-Cycle ManagementEstablished life-cycle program management office for each new program to constantly oversee long-term impacts of phase-level decision-making & trade-offs

    MeasurementMove aggressively to accelerate deployment of integrated financial management system & develop agency-wide mandates for utilizing real-time financials in measuring performance

    15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

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  • 15.875 Project

    Prologue

    Background

    Problem

    Insights

    Rec’s

    Spiral Development: A Word of Caution

    Spiral Development calls for progress based upon achievement of intermediate objectives, with incorporation of new information in the planning and execution of subsequent stages

    Effectively a “real options” approach to minimizing overall project risk and maximizing results give limited resources

    However, any real option implies both an option to process AND an option *NOT* to proceed

    The Spiral Development approach could lead, albeit logically, to the abandonment of human spaceflight...www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • Why have people in space?

    Kennedy’s Memo to Johnson, April 20, 1961

    Do we have a chance of beating the Soviets by putting a laboratory in space, or by a trip around the moon, or by a rocket to go to the moon and back with a man?... Is there any other space program which promises dramatic results in which we could win?

    Kennedy’s Speech at Rice University, September 12, 1962

    Finally, in a field where the United States and the Soviet Union have a special capacity--in the field of space -- there is room for new cooperation, for further joint efforts in the regulation and exploration of space... Surely we should explore whether the scientists and astronauts of our two countries -- indeed of all the world -- cannot work together in the conquest of space, sending someday in this decade to the moon not the representatives of a single nation, but the representatives of all of our countries.

    The contest will continue--the contest between those who see a monolithic world and those who believe in diversity--but it should be a contest in leadership and responsibility instead of destruction, a contest in achievement instead of intimidation.

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  • Challenges to Economic Challenges to Economic

    Growth in NigeriaGrowth in Nigeria

    Michael AmatiJose ArdavinJeanette Fershtman

    14 May 2004

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  • NNIGERIAIGERIA

    MMALAYSIAALAYSIA

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  • MMALAYSIAALAYSIA

    What do theseWhat do these

    countries have incountries have in

    common?common?

    NNIGERIAIGERIAwww.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • MMALAYSIAALAYSIAIn 1970,

    Both hugely dependent on oil

    Both recently gained independence from the UK (1957 and 1960)

    Both with comparable GDP per capita

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  • MMALAYSIAALAYSIA

    But over time…But over time…

    NNIGERIAIGERIAwww.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • 2,000

    4,000

    6,000

    8,000

    10,000 Real GDP per Capita

    ……a huge divergencea huge divergence

    Sourc

    e: W

    orld P

    enn T

    able

    s19

    60

    19

    65

    19

    70

    19

    75

    19

    80

    19

    85

    19

    90

    19

    95

    20

    00

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  • MMALAYSIAALAYSIA

    Nigeria TodayToday Malaysia 132.8m Population 24.3m

    2.12% Population growth 1.91%

    $43.54bn (2002) GDP (current US$) $95.16bn (2002)

    $328 GDP per capita $3,915

    GDP per capita on a $815 purchasing price parity basis $8,825

    Exports of goods and 37.70% services as % of GDP 113.80%

    Source: FdiMagazine.com

    NNIGERIAIGERIAwww.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • MMALAYSIAALAYSIAThe Problem: What factors contributed to

    the divergence in economic, political, and

    social stability of these two nations?

    The Method: Use system dynamics to

    gain insights into the problem.

    The Client: Experts on the Nigerian situation

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  • NNIGERIAIGERIA

    investmentinvestmentAttractiveness to Foreign and Local Investors

    Foreign and Local

    Investment in Domestic

    Economy

    GDP Per Capita

    Perceived ROI for

    Investors

    Actual Return for

    Investors

    Percent of Economy

    Privatized

    Stress in Organizational

    Capacity

    Incentive for Government

    to Nationalize Business

    +

    +

    +

    +

    +

    -

    + +

    -

    +

    R

    B

    B

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  • NNIGERIAIGERIA

    investmentinvestment

    0

    5

    10

    15

    20

    25

    1960

    1965

    1970

    1975

    1980

    1985

    1990

    1995

    2000

    Investm

    en

    t as p

    erc

    en

    t o

    f G

    DP

    Source: World Penn Tables

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  • regional developmentregional development

    GDP Per Capita Regional GDP

    Per Capita

    New Technologies

    in the RegionTransfer of

    Technology/Knowledge from

    Other Countries in the Region to

    Domestic Sectors

    Productivity of

    Non-oil Businesses

    Non-oil GDP Per

    Capita

    +

    +

    +

    +

    +

    +

    R

    Population

    -

    +

    B

    Attractiveness of

    Region to Investors

    Foreign and Local

    Investment in Domestic

    Economy

    +

    +

    + R

    Accessibility of

    Region to Investors Amount of Investment in

    Other Countris in

    Region

    +

    - ++ B

    R

    Industrial Demand

    (Labour/Suppliers)

    Non-oil Business

    Opportunities

    Industrial Demand in

    Other Countries in

    Region

    +

    +

    +

    + -

    BR

    Oil Money that Fuels

    Non-oil Sector Growth

    Percentage of Government

    Spending on Employee

    Salaries

    Percentage of

    Government Revenue that

    Comes from Oil

    Percentage of Labour

    Force Employed by

    Government

    Percentage of Consumer

    Spending on Domestic

    Goods

    +

    + +

    +

    +

    NNIGERIAIGERIARelative Significance of

    Domestic Economy to

    Regional Economy

    -

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  • Sub-Saharan Africa Region FDI Indicators South East Asia

    35 No.of FDI projects (Jan-Sep 2003) 181

    15.00% Market-share of projects in the

    region 20.00%

    34.30% Value of projects relative to GNP 93.30%

    Energy, Food & Drink, Financial

    Services Top 3 destination sectors

    Automotive OEM, IT & Software, Chemicals

    UK, Greece, USA Top 3 source countries USA, UK, Japan

    Frigoglass, Royal Dutch Shell Group,

    Union Bank Top 3 investors Tesco, Ford,

    Motorola

    regional developmentregional development

    Source: FdiMagazine.com

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  • NNIGERIAIGERIA

    institutionsinstitutions

    'Entrenchment' of

    Officials

    Opportunities to

    Abuse Powers

    Government

    Abuse of Power

    Relative Power of

    Officials to Politicians

    Efforts to Form

    Democratic

    Government

    Stability of

    Governmental

    System

    Discontent with

    Government

    Rule of Law

    Crime

    Personal Security

    of Citizens

    +

    +

    +

    -

    +

    +

    +

    + -

    +

    -

    +

    B

    RB

    Attractiveness to

    Foreign and Local

    Investors

    Foreign and Local

    Investment in Domestic

    Economy

    GDP Per Capita

    Happiness of

    Population

    +

    +

    +

    +

    +

    R

    Amount of Quality

    Government Spending

    Government Spending

    on Infrastructure

    Reliability of

    Infrastructure

    Ease of Conducting

    Economic Activity

    +

    +

    +

    +

    +

    R

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  • institutionsinstitutions

    -2 -1.5 -1 -0.5 0 0.5 1 1.5

    Political stability

    Government effectiveness

    Regulatory quality

    Rule of law

    Control of corruption

    Deviation with respect to world average

    NNIGERIAIGERIASource: FdiMagazine.com

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  • educationeducationShortage of Appropriate

    Employment

    Opportunities

    People Emmigrating to

    Seek Employment

    Productivity per

    Person

    GDP Per Capita Percentage of People

    Expecting Education

    Number of People

    Seeking Education

    Government Spending

    per Person Educated

    Skill Level of

    Population

    Effectiveness of

    Education

    School

    Attendance

    Students Perception of

    the Value of Education

    People

    Underemployed

    Expectations for Income

    and Quality of

    Employment

    +

    -

    +

    +

    +

    -

    +

    +

    +

    +

    +

    +

    +

    +

    -

    +

    B

    B

    R B

    NNIGERIAIGERIAwww.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • NNIGERIAIGERIA

    educationeducation

    1

    2

    3

    4

    5

    6

    1970 1980 1990 2000

    Ed

    ucati

    on

    Exp

    en

    dit

    ure

    % o

    f G

    NI

    Malaysia

    Nigeria

    Source: World Development Indicators, World Bank

    0

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  • NNIGERIAIGERIA

    educationeducation

    0 20 40 60 80 100

    School enrollment, primary (%

    gross)

    School enrollment, secondary (%

    gross)

    School enrollment, tertiary (%

    gross)

    Illiteracy rate, adult total (% of

    people ages 15 and above)

    Illiteracy rate, youth total (% of

    people ages 15-24)

    %

    Nigeria

    Malaysia

    Source: World Development Indicators, World Bank www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • NNIGERIAIGERIA

    insightsinsights•Investment

    •Investment, GDP growth, and the size of GDP are all strongly interdependent.

    •Regional Development

    •A nation’s comparative status in its region of the world will impact its ability to develop.

    •Institutions

    •A nation must be perceived as being politically stable before it can hope to increase investment in its economy

    •Education

    •Even the best education system will be ultimately worthless if there are not ample jobs that befit those who are highly educated.

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  • Overcoming (some)Overcoming (some)

    InsecuritiesInsecurities

    • Trust the Standard Method!

    • Concentrate on Insights

    • Every stage of the process has value

    – For large projects, causal loops may be the

    biggest the most valuable part

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  • ...but not all of them...but not all of them

    • Difficult to know when analysis is done

    • Going slow is hard!

    • “But that’s obvious!”

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  • System DynamicsSystem Dynamics

    InsightsInsights

    • Equilibrium can be obtained systematically

    • Smooths are everywhere

    – Learning how to use the trend molecule

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  • Phlebotomy & Delayed Discharges at an Academic

    Teaching HospitalTimothy Quinn

    Jenny Rudolph, PhD

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  • Hospital Overview• Academic Teaching Hospital

    – Residents make the clinical decisions– Attending physicians supervise & teach

    • Hospitalized Patients– Clinical decisions Information from

    laboratory tests on blood samples• Drawn multiple times daily (usually scheduled)

    – Census: 150-180 medicine & surgery patients

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  • Problem StatementE

    laps

    ed T

    ime

    from

    Ord

    er

    until

    Res

    ults

    Ava

    ilabl

    e

    Average Turnaround Time for Lab Test Results1. Inefficiency

    – Impedes clinical decision-making2. Lower Quality & Higher Risk

    – Delays patient care plan implementation3. Lower Margins

    – Increases chance of postponed discharges

    Perfect World

    “Acceptable” Minimum

    Current Level No change

    Improvement

    1993 2004 2005

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  • Work Context

    • Two interdependent “organizations”– Laboratory & Phlebotomy (operations)

    – Physicians & Nurses (clinical)

    • Constraints affect each group differently– No one group sees entire system

    – Nobody looking out for entire system

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  • Challenge: Getting Everyone Around the Same Table

    • How did we meet this challenge?– Required tactful facilitation of entire team– Active listening elicit frustrations– Use “objective” process flowcharts

    • Build understanding of how things work• Basis for communication among groups

    • Results– “I had never heard that lab turnaround time delayed

    clinical decision making.” – VP, General Services– Residents and nurses blame phlebotomy for being

    unresponsive don’t realize they are understaffed– Residents don’t realize they make an implicit risk

    tradeoff: act without info or wait for info patient safety

    Client Insights

    My Insights

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  • Client Insights from Reference Modes• System in Equilibrium

    – Patient volume consistently close to maximum capacity

    – Staffing levels “frozen” because of chronic budget shortfalls

    – Phlebotomy productivity is stable and better than the benchmark

    • Dissatisfaction with Lab Turnaround Time “paradigm shift”, not erosion of current

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  • Putting the Pieces Together

    Average LabTurnaround Time

    Average Time to MakeClinical Decisions

    AverageLength of Stay

    HospitalProfit

    Phlebotomists

    + +

    -

    -

    R

    Hiring

    +

    +

    Quality ofPatient Care

    -

    +

    R

    Death Spiral

    QualityErosion

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  • Putting the Pieces Together

    Average LabTurnaround Time

    Average Time to MakeClinical Decisions

    AverageLength of Stay

    HospitalProfit

    Phlebotomists

    + +

    -

    -

    R

    Hiring

    +

    +

    Quality ofPatient Care

    -

    +

    R

    Death Spiral

    QualityErosion

    Operations Organization

    Clinical Organization

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  • Phlebotomy Staffing Policies (1)• Insight 1:

    Hospital financials constrain ability to hire phlebotomists– Can’t close

    staffing gap

    • Insight 2: Little attention to phlebotomy supply-demand balance across depts

    Average LabTurnaround Time

    Average Time to MakeClinical Decisions

    AverageLength of Stay

    HospitalProfit

    Phlebotomists

    + +

    -

    -

    R

    StaffingGap

    Hiring

    -+

    +

    B +

    Quality ofPatient Care

    -

    +

    R

    Death Spiral

    WorkforceAdjustment

    QualityErosion

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  • Policy Implications• Need proactive, periodic review of where

    phlebotomists are assigned

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  • Phlebotomy Staffing Policies (2)

    • Insight 3: Lower profitability results in fewer desired staff– Should

    phlebotomy be cut in a budget crunch?

    – What staffing level is “optimal”?

    Average LabTurnaround Time

    Average Time to MakeClinical Decisions

    AverageLength of Stay

    HospitalProfit

    Phlebotomists

    + +

    -

    -

    R

    StaffingGap

    Hiring

    -+

    +

    B +

    Quality ofPatient Care

    -

    +

    R

    Death Spiral

    WorkforceAdjustment

    QualityErosion

    DesiredPhlebotomists

    + ?

    RPositions

    from Budget

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  • Policy Implications• Need proactive, periodic review of where

    phlebotomists are assigned• Investments required to get out of the hole

    – Possibility: Hire more phlebotomists when profitability is low

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  • Average LabTurnaround Time

    Average Time to MakeClinical Decisions

    AverageLength of Stay

    HospitalProfit

    Phlebotomists

    + +

    -

    -

    R

    StaffingGap

    Hiring

    -+

    +

    B +

    Resident-Drawn Labs

    +

    -

    B

    Quality ofPatient Care

    -

    +

    R

    Death Spiral

    WorkforceAdjustment

    Make UpShortfall

    QualityErosion

    DesiredPhlebotomists

    ++

    RPositions

    from Budget

    No Silver Bullet

    • Residents make up phlebotomy staffing shortfall

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  • Average LabTurnaround Time

    Average Time to MakeClinical Decisions

    AverageLength of Stay

    HospitalProfit

    Phlebotomists

    + +

    -

    -

    R

    StaffingGap

    Hiring

    -+

    +

    B +

    Resident-Drawn Labs

    +

    -

    B

    Quality ofPatient Care

    +

    -

    +

    R

    Death Spiral

    WorkforceAdjustment

    Make UpShortfall

    QualityErosion

    DesiredPhlebotomists

    ++

    RPositions

    from Budget

    R

    Fix thatFails

    No Silver Bullet• Insight 4:

    Residents as “solution”makes problem worse– where to

    allocate time– time to make

    clinical decisions is most important

    • Insight 5: Shorter lab turnaround time is necessary, but not sufficient, for better performance

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  • Policy Implications• Need proactive, periodic review of where

    phlebotomists are assigned• Investments required to get out of the hole

    – Possibility: Hire more phlebotomists when profitability is low

    • Focus on improving timeliness of clinical decision-making and interventions– Pay special attention this high-leverage point– Don’t just fight fires when crises happen– Hard to measure abstract processes

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  • Client-Reported Project Benefits• Explore system response to changes

    – Justify incremental phlebotomy staffing– Time required to make clinical decisions is the

    high-leverage point• Info available earlier must be acted on earlier• more process improvements needed

    • Insights not possible from discussion alone– Everyone tends to focus on the details of their

    area need framework for systems thinking– Recognize that processes evolve around

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  • Massachusetts Institute of Technology Sloan School of Management

    System Dynamics II: Applications of System Dynamics

    Professor Jim Hines

    The “Standard Method”1 What is the “standard method”? The standard method is the sequence of activities (or the process) most teams will follow in doing their projects. Each week you will receive a handout describing the particular step of the standard method that you should be working on with your client. We encourage you to stay as close to the standard method as you can. Of course, your project is your project, so you (in consultation with your client) should feel free to depart from the standard method as desired. However, we ask that when you try something new or different, you think of it as an experiment that you can tell us all about. Jot down what you’re doing differently and why. What do you hope to accomplish? How did it turn out and why? Why do we call it the “standard method”? Most top system dynamics practitioners follow processes that are similar to what we do in class. On the other hand, all practitioners have their own modifications. We were in a quandary. If we called this the “Jim Hines Method”, everyone would say, “That’s not the Jim Hines Method, that’s the process that everyone follows. I’ve been doing it for years. It’s standard!” Of course by calling it the “standard method”, everyone will now say, “That’s not the standard method, it’s just Hines’ method. What I do is the standard method, and it’s totally different”. We finally decided to go forward with the “standard method”, because it seemed less self-aggrandizing than the “Jim Hines method”. Steps in the standard method. The steps of the standard method will probably seem familiar to you after taking after having taken System Dynamics for Business Policy or System Dynamics: Managing Complexity (or, perhaps, a course equivalent to either of these). The steps are: 1) Problem definition

    a) List of variables b) Reference modes c) Problem statement

    2) Momentum policies 3) Dynamic hypotheses (i.e. causal loops) 4) Model first loop 5) Analyze first loop 6) Model second loop 1 Prepared by Jim Hines, February 1999. Revised February 2001. Revised February 2004. Copyright © 1999-2004 Jim Hines

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  • 7) Analyze second loop 8) Etc. Conclusions and insights should emerge at every step and may emerge at any minute during the standard method. Be sure to record these conclusions and insights when they occur. Quick example of the standard method. In this example, we’ll end up building a classic diffusion model. But, let’s pretend that we don’t know what a diffusion model is. (If you don’t know what a diffusion model is, this little exercise will show you). Our first meeting with the client begins in a conference room with the vice president of the automated products division, and his direct reports (marketing, manufacturing, research and development). The VP provides some introductions and context.

    “Our Automated Fly Swatter is a great product. But, we need to understand the key drivers in the fly market, so I’ve hired these very smart folks from MIT. Let me just turn it over to them so they can tell us what those key drivers are.”

    At this point everyone turns to you and expects you to say something brilliant. That’s too hard, so instead you stand up and say “We don’t really don’t know anything about fly swatters or even much about flies and very little about your culture, your values, the way you do business. One thing I do know, though, is if I were this were my problem, I wouldn’t turn it over to anyone less than the most knowledgeable people on the planet – and that’s you guys. The reason I think you probably really need us is not because you know too little about the technology, your own company and the market, but because you know too much. You know thousands of things and thousands of ways that they’re all interconnected.” At this point you stop to look meaningfully into the eyes of a few of the managers around the table. “What you probably need,” you continue, “is some help in talking about what you know and structuring all that knowledge in a way powerful enough so that you can see what the key things are you really ought to do.” You pause again just to make sure that the reason managers are nodding is that they agree with you and not because they’re all about to drift off to sleep. Once you’re reassured you continue, “If that’s what you need, then we’re in good shape because what we have to offer is exactly that: A structured process for talking and thinking and for arranging what you know in a way that makes it easier to figure out what to do. Fortunately, you don’t have to take my word for it. The process contains a number of steps and the first step is easier to do than to talk about. So, what do you say? Should we start?” What can they say, except, “Well…sure, let’s just dig in”. So, you tell them that you want to begin by simply listing important variables”. Slowly at first and then with

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  • increasing speed the managers call out variables while you write them on a flip chart. You record: Variables List:

    • Fly population • Revenues • Unit Sales • Annoyance at flies • Market saturation • Manufacturing costs • Price • Cost of batteries • Word of mouth about our product • Product recalls • Health problems with our products • …etc.

    Eventually, your managers run out of steam. You call a break, and ask that during the break people mark what they think are the five most important variables. Reference Modes: Returning from the break, you explain that you want to graph the behavior of some of the variables. Identifying the half dozen variables that received the most “votes”, you lead the group through a reference mode exercise drawing each one on a flip chart. For example, one of the reference modes might be

    Hope

    Unit FearSales

    2000 2015Now Year

    (Looking at the graph some one in the group says, “You know, for a long time we won’t be able to tell which trajectory we’re on”. You immediately find a fresh flip chart, title it “Insights” and right that baby down.) Problem statement: One or more of your reference modes almost certainly will contain the true concern of the clients. You phrase it to the group, but you don’t write it down, after all a picture is worth a thousand words. You just point to the curve and say:

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  • We hope that the initial growth trend of AFS sales continues and that the product ultimately becomes a stable, high-volume seller. But we’re worried that sales, after appearing to be on track, might take a nosedive leaving us with mediocre or low sales, and way too much capacity. If we are successful in our project here we will increase the likelihood of the curve labeled “hope” and decrease the likelihood of the curve labeled “fear”.

    Momentum policies. Momentum policies (i.e. solutions) are what the client would implement now to solve the problem, if they had no further time to collect information or ponder. Once you have a problem focus, you are in a position to collect momentum policies. Continuing with our example, you point out to your client that the system dynamics process has already added something by crystallizing the problem. You explain, though, that you would like to be able to gauge at the end of the process, whether anything beyond this additional specificity has come out of the project. Consequently you’d like to record what the client would do now about the problem, if decisions had to be made immediately. You record ideas like:

    “We need to do a market study” “We should start a competitor intelligence unit” “We need to get data on the drivers of the market” “We’ve got to get better forecasts from the Economics Group”.

    Note that these policies are not all well thought out, and some are not even policies. No problem, simply record them. Store them away. You might want to use them to suggest tests or directions of inquiry, but at least (and in most cases at most) you will pull them out ten weeks from now to say, “look how far we’ve come”. Causal loop diagram. With variables, reference modes, and a problem-focus, you will be in position to start coming up with dynamic hypotheses; that is, loops that describe feedback processes capable of generating the patterns in your reference modes. Coming up with a diagram will take several weeks, and will likely result in a number of insights and good ideas.

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  • Customers

    Word of mouth

    sales

    ++

    +Remaningcustomers-

    +

    Competition

    Product categoryattractiveness

    +

    +

    Marketshare

    +

    +

    Learninghow to mfg

    Cost +-

    -

    Again remember to record insights as they come up. For example: “The learning loop counteracts the running-out-of customers loop” and “We can strengthen the word-of-mouth loop with a sign-up-a-friend promotion”. Modeling. Finally, at about the mid point in the semester, you will be ready to model. By this time, your clients realize that the model is not the actual objective, rather the process is. The modeling is simply the next step in the process, it may help people refine some of the insights you’ve already recorded, it will probably result in additional insights, but it probably won’t contradict any of the insights you’ve already had. Here’s what you’ll do: You will choose a loop, model it, simulate, analyze, and work with your client to develop insights and ideas. Then you’ll choose another loop, add it to your growing model, simulate, analyze again, and work on further developing new or existing ideas. You will probably only have time to model two or three loops. As always you’ll record insights and conclusions as you go along. For example, “Strengthening the positive word-of-mouth loop creates a faster rise and a deeper collapse.” and “Replacement sales may lesson the severity of the down-turn in sales”.

    CustomersRemainingCustomers

    Sales

    Contacts

    Sociability

    Contacts withnon-customers

    Non-customerprevalence

    Market size

    Word ofmouth sales

    Fruitfullness

    ******************************** .diffusion ******************************** Sales = Word of mouth sales Units: people/year Word of mouth sales = "Contacts with non-customers" * Fruitfulness Units: people/year Fruitfulness = 0.05 Units: fraction "Contacts with non-customers" = Contacts * "Non-customer prevalence" Units: people/year Contacts = Customers * Sociability Units: people/year

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  • CurrentSales

    50,00037,49925,00012,501

    2Word of mouth sales

    50,00037,49925,00012,501

    20 5 1

    Time (year)0

    Sociability = 40 Units: people/(year*person) Customers = INTEG( Sales , 1) Units: people "Non-customer prevalence" = Remaining Customers / Market size Units: fraction Remaining Customers = INTEG( - Sales , 100000) Units: people Market size = Customers + Remaining Customers Units: people ******************************** .Control ******************************** FINAL TIME = 10 Units: year INITIAL TIME = 0 Units: year SAVEPER = TIME STEP Units: year TIME STEP = 0.0625 Units: year

    You may find that the modeling leads to the best insights. Or you may find in retrospect that the causal loops, or even the reference modes, was the source of the most important insights and conclusions. You may find that some people involved in the process liked the modeling best and others liked causal looping or something else best. The important lesson from this is that the model is not the goal of the engagement. The goal is to use the entire process to help the client. Modeling is just one piece – in any particular situation it might provide the brightest illumination, but in another situation a different part of the process might turn out to be the real source of light, and in yet another situation, the entire process may shine with a uniform brilliance. Final presentation. The final presentation is not really part of the standard method. But for completeness, here’s a brief description. Your final presentation will summarize your project, stressing what you and/or the client learned in the process and how the project has made a practical difference somewhere. There are many different kinds of things that can be learned from the process and many ways to have made a difference. You will have been preparing for the final presentation throughout the term by keeping track of what you and the client are learning and how that has changed or will change what your and/or the client (may) do. The final presentations are always wonderful – full of insight, humor, and importance. We’d like you to invite your client to the final presentations (now is not too early). Your client may wonder if she really wants to display the project in public. Reassure your client that you won’t present anything that the client considers sensitive. These projects are rich and so there is never any shortage of things to present.

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  • 1

    Forecasting ATE sales at Teradyne, Inc.

    May 13, 2004Kapil Dev Singh, Torben Thurow,

    and Truman Bradley

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  • 2

    Agenda

    • Teradyne’s business• Problem statement• Process comparison and analysis

    – Teradyne’s forecasting process– System Dynamics process

    • Conclusions and insights• Next steps

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  • 3

    Teradyne• Manufactures and sells equipment that

    automatically tests semiconductors – Used in wafer sort operations and– Final testing after packaging

    • Major customers include Intel, Motorola, Texas Instruments, Analog Devices, TSMC

    Semiconductor Capex

    0

    0.5

    1

    1.5

    2

    1995 1996 1997 1998 1999 2000 2001 2002 2003 2004www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in

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  • 4

    Problem Statement

    • Teradyne sees dramatic cyclicality in its orders and struggles to efficiently adjust production to meet demand.

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  • 5

    Teradyne’s forecasting process

    • Size of ATE market correlated with total semiconductor market size

    • Historically, Constant buy rate– ATE market = 2.5% * semi market– Size of semiconductor market based on external

    forecasts• Recent data departs from historical trends• Sales team provides input for market share

    estimates and short term forecasting based on customer input

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  • 6

    Reference Mode Breakdown• Growth in market

    size• Oscillation in

    market size• Increasing

    amplitude of oscillation in market size

    now1990 2020

    Sem

    icon

    duct

    or M

    arke

    t Hope

    Fear

    now1990 2020

    Sem

    icon

    duct

    or M

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    t Hope

    Fear

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  • 7

    Momentum Policies• Internal

    – Temporary employment– Expandable and contractable capacity– Long customer lead times (order to receipt)– Surge capacity– Shorten component lead times

    • External– Talk to customers to forecast better

    Even with perfect forecasts, operational improvements will drive performance. However the effects of particular policies may not be obvious

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  • 8

    Causal Loops – Process Insights

    • Quick way to improve understanding of the industry dynamics

    • Great way to capture causal relationships

    • Expands viewpoint to big picture

    • Valuable by themselves• Easy to understand and

    work with

    ConsumerElectronics Demand

    SemiconductorCapacity

    SemiconductorCapacity Gap

    Additions toSemiconductor

    Capacity

    Electronic ManufacturersSemiconductor Demand

    SemiconductorContent of Devices

    SemiconductorPrices

    Demand for testequipment Teradyne's Orders

    Teradyne'sInstalled Base

    Desired SemiconductorProduction

    Teradyne'sCapacity

    Teradyne'sDeliveries

    Desired Capacity

    TeradyneAdditions to

    Capacity

    Forecasted Orders

    Other ATE Orders

    -

    +

    +

    -

    +

    +

    +

    B

    B

    -

    -

    ++

    RequiredSemiconductor Testing

    SemiconductorProduction

    ATE TestingCapacity

    Actual ATECapacity utilization

    Desired ATECapacity Utilization

    ATE CapacityUtilization Gap

    Other ATEDeliveries

    B

    B

    R

    +

    +

    +

    +

    +

    ++

    +

    +

    +

    +

    +

    +

    +

    +

    +

    +

    -

    Investments inProcess Technology

    +

    +

    -

    -

    Production

    +

    +

    B

    Total ATEDeliveries

    +

    ATEObsolescence

    B

    --

    +

    -

    SemiconductorRevenue SemiconductorDesign R&D

    +

    +

    Functionality ofSemiconductors+

    +

    +

    +

    Target CapacityUtilization

    Expected FutureCapacity Utilization

    +

    +

    +

    Relati


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