mosith02 systems&models

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    INSTRUCTOR: EL JIREH P.BIBANGCO

    Systems and ModelsSystems and ModelsChapter 2Chapter 2 El Jireh P. BibangcoEl Jireh P. Bibangco

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    Learning ObjectivesLearning Objectives

    In this chapter you will learn about:In this chapter you will learn about:

    System: Characteristics and CompositionSystem: Characteristics and Composition

    Models and CategoryModels and Category Simulation Life CycleSimulation Life Cycle

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    SystemSystem

    Definition:Definition: a group of objects that area group of objects that arejoined together in some regularjoined together in some regularintersection or interdependenceintersection or interdependencetowards the accomplishment of sometowards the accomplishment of some

    purpose.purpose. A system has three characteristics:A system has three characteristics:

    A system has more than one elementA system has more than one element

    All elements of a system are logicallyAll elements of a system are logicallyrelatedrelated

    All elements of a system are controlled inAll elements of a system are controlled ina manner to achieve the system goal(s)a manner to achieve the system goal(s)

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    SystemSystem (cont.)(cont.)

    System environmentSystem environment everythingeverythingoutside the system and has influenceoutside the system and has influenceon it behavioron it behavior

    BoundaryBoundary line that separates a systemline that separates a systemfrom its environmentfrom its environment

    EntityEntity object of interest in a systemobject of interest in a system AttributeAttribute a characteristic of an entitya characteristic of an entity

    BehaviorBehavior an action that an entity isan action that an entity iscapable of performingcapable of performing

    ActivityActivity represents a time period ofrepresents a time period ofspecified lengthspecified length

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    Entity On FocusEntity On Focus

    Example Entity:Example Entity: Bank CustomerBank Customer

    Attribute:Attribute: balance in their accounts, name,balance in their accounts, name,addressaddress

    Behavior:Behavior: deposit, withdraw, sitdeposit, withdraw, sit Activity:Activity: making deposits, withdrawingmaking deposits, withdrawing

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    SystemSystem (cont.)(cont.)

    StateState(state variable)(state variable) collection ofcollection ofvariables necessary to describe avariables necessary to describe asystemsystem EndogenousEndogenous value determined by othervalue determined by other

    variablesvariables ExogenousExogenous unaffected valuesunaffected values

    EventEvent instantaneous occurinstantaneous occurrrence thatence thatmay change that state of the systemmay change that state of the system EndogenousEndogenous occuring within a systemoccuring within a system

    ExogenousExogenous in the environment thatin the environment thataffect the systemaffect the system

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    S Y S T E MActual System System Model

    Physical ModelMathematical

    Model

    Analytical Solution Simulation

    Studying a SystemStudying a System

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    Great teacherMany situationsDeal with the unexpectedThorough understanding of

    processes

    Broader knowledge

    ExpensiveNot always practicalTime consumingImpossible for all situationsCan be complex

    ConsPros

    Experience

    Experience On FocusExperience On Focus

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    ExpensiveNot always practicalTime consumingImpossible for all situationsCan be complex

    ConsPros

    Experience

    MorePros

    ExpensiveNot always practicalTime consumingImpossible for all situationsCan be complex

    CheapFlexibleFastAdaptableSimplifying

    Simulation

    ProvidesVirtualExperience

    Great teacherMany situationsDeal with the unexpectedThorough understanding of

    processes

    Broader knowledge

    Why Model?Why Model?

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    ImplementationSituation Decision Payoff

    Should the software company developsimulation software in addition to

    game software?

    Owner has been a programmer for 25 yearsand thinks the simulation software will sell:

    Well & Good!

    The company spends P500,000 on newsoftware and advertising.

    The simulation software sell well!But fewer game software can be developed

    Net profit falls

    Relying solely on intuition is riskyNo feedback until the final outcome

    An Approach to DecisionAn Approach to Decision

    MakingMaking

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    Situation Decisions

    Symbolic World

    Real World

    Model

    Abstrac

    tion

    Interpre

    tation

    ResultsAnalysis

    Intuition

    Judgment

    Decision Making Using aDecision Making Using a

    ModelModel

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    ImplementationDecision Payoff

    Interpretation of model results

    Intuition of situation

    Decision Making Using aDecision Making Using a

    ModelModel

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    Models and TypesModels and Types

    ModelModel representation of a systemrepresentation of a system Types of Models:Types of Models:

    Static or DynamicStatic or Dynamic in static models,in static models,time plays no role while dynamic modelstime plays no role while dynamic models

    evolve over timeevolve over time Deterministic or StochasticDeterministic or Stochastic

    deterministic model does not containdeterministic model does not containany probabilistic components, whileany probabilistic components, while

    stochastic models incorporate randomstochastic models incorporate randominputsinputs

    Discrete or ContinuousDiscrete or Continuous in discretein discretemodel, state variables changemodel, state variables changeinstantaneously, while in continuousinstantaneously, while in continuous

    model, state variables changemodel, state variables change

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    Simulation Life CycleSimulation Life Cycle

    n te llig e n ce P h a se M a n a g e ria l P h a se

    lity Assurance Phase Developmental Phase Implementation Phase, ,Operations Maintenance and Arc

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    Intelligence PhaseIntelligence Phase

    Definition:Definition: involves understanding theinvolves understanding theenvironment and determining problemenvironment and determining problemto be solved.to be solved. Problem DefinitionProblem Definition definition ofdefinition of

    objectives, and understanding of theobjectives, and understanding of theunderlying problem.underlying problem.

    General FeasibilityGeneral Feasibility conductconductpreliminary feasibility study (TELOSpreliminary feasibility study (TELOS

    technical, econimical, legal, operational,technical, econimical, legal, operational,and schedule feasibility)and schedule feasibility)

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    Managerial PhaseManagerial Phase

    Definition:Definition: overall project plan; team,overall project plan; team,budget, and time managementbudget, and time management Development of proposalsDevelopment of proposals used toused to

    organized effort and ensure allorganized effort and ensure all

    participants are working toward aparticipants are working toward acommon goalcommon goal

    Securing a budgetSecuring a budget

    Acquiring managerial supportAcquiring managerial support

    FForming a project teamorming a project team

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    Developmental PhaseDevelopmental Phase

    Definition:Definition: includes creation ofincludes creation ofsimulation models and broke it intosimulation models and broke it intosubmodels.submodels. ModelModel Scaling (prototype)Scaling (prototype)

    Model ScopeModel Scope determining the portiondetermining the portionof the system to be representedof the system to be represented(partitioning)(partitioning)

    Modeling ViewsModeling Views event orientation,event orientation,

    process orientation, or activityprocess orientation, or activityorientationorientation

    Data Collection and AnalysisData Collection and Analysis

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    Quality Assurance PhaseQuality Assurance Phase

    Definition:Definition: an ongoing activity toan ongoing activity toensure a high quality simulationensure a high quality simulationemerges during developmentemerges during development System ValidationSystem Validation accuracy of theaccuracy of the

    simulation model as representation ofsimulation model as representation ofthe real-world systemthe real-world system

    Input Data ValidationInput Data Validation qualitative andqualitative andquantitative input formatquantitative input format

    Simulation Output ValidationSimulation Output Validation comparison with data from similarcomparison with data from similarsystem; expert opinion; and calculatedsystem; expert opinion; and calculatedexpectations.expectations.

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    Implementation PhaseImplementation Phase

    Definition:Definition: model use begins andmodel use begins anddecision support activities take placedecision support activities take place Documentation and ReportingDocumentation and Reporting

    progress and program documentationprogress and program documentation

    System Model DeploymentSystem Model Deployment

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    INSTRUCTOR: EL JIREH P.BIBANGCOOperations, Maintenance, &Operations, Maintenance, &

    ArchivalArchival Definition:Definition: involves storing of theinvolves storing of the

    model with consideration of itsmodel with consideration of itspotential future usepotential future use

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    ENDENDThank YouThank You