bdsm-ch3 modeling process

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    Business Dynamics and System

    ModelingChapter 3: Modeling

    Process

    Pard Teekasap

    Southern New HampshireUniversity

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    Outline

    1.Purpose of modeling

    2.The client and the modeler

    3.Steps of the modeling process4.Modeling is iterative

    5.Overview of the modeling process

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    Purpose of modeling

    Who are the most important peoplein the safe operation of an aircraft?

    Designer OR Pilot

    Too many managers spend far toomuch time acting as pilots ratherthan creating an organizational

    structure consistent with theirvision and values

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    Small or Big Problem

    Solutions to small problems yieldsmall rewards

    Focus your model on the importantissues, on the problems where yourwork can have lasting benefit, onthe problems you care most deeply

    about

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    Client and Modeler

    Clients = people you must influencefor your work to have impact

    Purpose is to help the clients solvetheir problem. If the clientsperceive your model does notaddress their concerns or lose

    confidence in it, youll have littleimpact

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    Clients are not always right

    Modelers have a responsibility torequire their clients to justify theiropinions, ground their views in

    data, and consider new viewpoints

    When the clients ask for somethingyou think is unnecessary or

    misguided, you must work withthem to resolve the issue

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    Steps of the modelingprocess

    1. Problem Articulation(Boundary Selection)

    3. Formulation4. Testing

    5. PolicyFormulation& Evaluation

    2. DynamicHypothesis

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    Iterative with real world

    MentalModelsof Real

    World

    Strategy,Structure,Decision

    Rules

    RealWorld

    Information

    Feedback

    Decisions(Organizational

    Experiments) 1. Problem Articulation(Boundary Selection)

    3. Formulation4. Testing

    5. PolicyFormulation& Evaluation

    2. DynamicHypothesis

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    Problem articulation

    What is the issue the clients are mostconcerned with?

    What problem are they trying toaddress?

    What is the real problem, not just thesymptom of difficulty?

    What is the purpose of the model?

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    Can I model the wholeworld?

    Is it useful to have the map asdetailed as the territory?

    To be useful, model must address a

    specific problem and simplify Usefulness of models lies in the fact

    that they simplify reality, creating a

    representation of it we cancomprehend

    The model should be simple enoughso the assumptions could be

    examined

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    Methods for articulate theproblem

    References Modes

    Time Horizon

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    Reference Modes

    Set of graphs and other descriptivedata showing the development ofthe problem over time

    You and the clients must identify thetime horizon and define variablesand concepts you consider to be

    important for understanding theproblem and designing policies tosolve it

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    Time Horizon

    How long should I collect the data?

    It should far enough back in historyto show how the problem emergedand describe its symptom

    How far should I simulate to?

    It should far enough into the future tocapture the delayed and indirecteffects of potential policies

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    US Energy market is stable

    0

    6

    12

    18

    1986 1988 1990 1992 1994 1996

    MillionBarrels/Day

    Alaska

    Production,Lower 48 States

    Consumption

    Imports

    0

    5

    10

    15

    20

    25

    30

    1986 1988 1990 1992 1994 1996

    1990$/bbl

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    Are you sure it is stable?

    0

    6

    12

    18

    1870 1890 1910 1930 1950 1970 1990

    MillionBarrels/Day

    Alaska

    Production,

    Lower 48 States

    Consumption

    Imports

    0

    10

    20

    30

    40

    50

    1870 1890 1910 1930 1950 1970 1990

    1990$/bbl

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    Or it is stable?

    -10000 -5000 0 5000

    F

    ossilEnergyP

    roduction

    Year

    IronAge First Oil

    ShockIndustrial

    Revolution

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    So how long should Isimulate

    A good rule of thumb is to set thetime horizon several times as longas the longest time delays in the

    system, and then some

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    Formulating a dynamichypothesis

    Develop a theory to account for theproblematic behavior

    Dynamic because it must provide an

    explanation of the dynamicscharacterizing the problem in term ofunderlying feedback and stock andflow structure of the system

    Hypothesis because its provisional,subject to revision or abandonment

    Goal is to help the client develop anendogenous explanation for theproblematic dynamics

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    Endogenous Explanation

    An endogenous theory = thedynamics of a system through theinteraction of the variables and

    agents represented in the model A exogenous variables theory

    explains the dynamics of variables

    in term of other variables whosebehavior youve assumed

    From the beer game, who generates

    the system behavior

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    Exogenous is still important

    Focusing on endogenousexplanations does not mean neverinclude any exogenous variables in

    the model. But the number ofexogenous inputs should be smalland carefully scrutinized

    If there are any important feedbacksfrom endogenous elements to thatexogenous input, the model shouldexpand and that input must be

    modeled endogenously

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    Tools for mapping systemstructure

    Model boundary chart

    Subsystem diagram

    Causal Loop Diagram (CLD) Stock and flow maps

    Policy structure diagrams

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    Model boundary chart

    Endogenous Exogenous Excluded

    GNP Population Inventories

    Consumption Technological change International trade

    Investment Tax rates Environmental

    constraintsSavings Energy Policies Non-energy resourcesPrices Interfuel substitution

    Wages Distributional equity

    Inflation rate

    Labor forceparticipationEmployment

    Interest rate

    Energy production

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    Benefits of model boundarychart

    Alert the clients to a questionableassumption so they could evaluatewhat the effect of the missing

    feedback might be Without a clear understanding of the

    boundary and assumptions, models

    constructed for one purpose arefrequently used for another forwhich they are ill-suited,

    sometimes producing absurd

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    Subsystem diagram

    Convey information on the boundaryand level of aggregation in themodel by showing the number and

    type of different organizations oragents represented

    Should not contain too much detail

    Multiple subsystem diagrams can beused to convey the hierarchicalstructure of large models

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    Subsystem diagram forcorporate growth model

    Company Market

    Mkt. Response to Quality

    Mkt. Response to Suitability

    Mkt. Response to Delivery Delay

    Mkt. Response to PriceOrders

    Payment

    Delivery of ProductPrice

    Quality

    Delivery Delay

    Product SuitabilitySales Effort

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    CLD, Stock & Flow, Policystructure diagram

    CLDs are useful for diagramming thefeedback structure of systems

    Stock and flow diagrams emphasize

    their underlying physical structureand track accumulations of material,money, and information as they movethrough a system

    Policy structure diagrams focus on theinformation cues the modelerassumes decision makers use togovern the rate of flow in the system

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    Formulating a simulationmodel

    Transfer from conceptual model toformal model

    Formalization helps to you to

    recognize vague concepts andresolve contradictions that wentunnoticed or undiscussed during

    the conceptual phase

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    Testing

    Not only to replicate historicalbehavior, every variable mustcorrespond to a meaningful

    concept in the real world Every equation must be checked for

    dimensional consistency

    Sensitivity of model behavior andpolicy recommendations must beassess in light of uncertainty inassumptions

    Test for extreme conditions

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    Policy design and evaluation

    Policy design is more than justchanging the value of parameters.It includes the creation of entire

    new strategies, structures, anddecision rules

    The robustness of policies and theirsensitivity to uncertainties in model

    parameters and structures must beassessed, including theirperformance under a wide range ofalternative scenarios