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Models Illustrating the Use of Discrete Event Modeling Features and Capabilities

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  • Moving Discrete Items

    This simple model illustrates how to move discrete items from one state to another.

  • Delay Discrete Change with Vector Times

    Delay a discrete change with a vector of delay times using a Reservoir and Information Delay. The reason this is needed is because the Discrete Change Delay does not allow non-scalar delay definitions.

  • Trucking Shipments

    This example combines both continuous and discrete dynamics to model the transport of a material by truck to a dock where the material is loaded onto ships.

  • Managing a Bank Queue

    This is a simple discrete events model of the number of tellers and the size of a queue of customers at a bank.

  • Start and End Value Difference

    This model computes the difference between the initial value of a variable (at the beginning of a simulation) and the final value of the variable (at the end of the simulation).

  • Discrete Model for Manufacturing

    This model describes a manufacturing process with the following stages: (1) casting, (2) pre-finish, (3) ‘solution oven’ heat treatment, (4) ‘aging oven’ heat treatment and (5) a finishing process.

  • Simulating an ATM Queue using Resources

    This is a simulation for an ATM machine installed at an event location, where there are frequent customer visits

  • FDA Approval Process

    This model simulates the process of obtaining FDA approval for a new drug.

  • Acute Infection Model

    These two models (continuous and discrete) simulate the spread of an acute infection through a population

  • Population Growth Aging Chain

    Example model illustrating population dynamics modeling with Discrete Change elements and Integrator arrays

  • Aging Chain

    Simulate an aging chain using various methods to keep track of the age structure of a stock of material or items.

  • Probability of Buying a Bike

    Tutorial model that calculates the probability that Jason can buy a bike given his income and spending

  • Widget Processor Model

    In this simple model, widgets are processed at a warehouse for 30 days. The widgets arrive at a rate of about once every two hours. It takes a certain amount of time (1.8 hrs) to process each widget and ship it out, and only one widget can be processed at a time.

  • On - Off Reservoir Discharge

    This model demonstrates the use of a Status element to control discharges from a reservoir.

  • Number of Days Which Failure Occurs

    This model counts the number of days in which some failure occurs. A failure event is defined as a reservoir overflow occurrence for any duration within a single day.

  • Ships with Containers

    This model simulates ships entering the harbor where each ship carries a random number of containers.

  • Simulating Failure Risk of a Pump Station

    Use the Reliability Module of GoldSim to calculate the failure modes of various components of a pumping station and water delivery system.

 

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