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Unit 1: Introduction to System Simulation



            Simulation involves                                                                   Notes


            Inventory System

            1.   Discrete

            2.   Stochastic
            Pure Pursuit


            1.   Continuous
            2.   Deterministic
            Still, few things are general for all types of simulation:
            1.   We initiate with a mathematical model of the system under study
            2.   Some initial conditions (i.e., at t=0) are presumed

            3.   State change appears in agreement with some equations (rules or laws)
            4.   At the end, desired information concerning the system (i.e., problem solution) is composed
            5.   These rules can be coded in a computer program. Alteration in program variables mimics
                 the state transform.
            6.   Hence, through simulation, we managed to get around the requirement of acquiring the
                 analytic solution


            1.7 When to Simulate

            Simulation is a decision examination and support tool. Simulation software  permits you to
            assess, compare and optimize alternative designs, plans and policies. As such, it offers a tool for
            explaining and protecting decisions to a variety of stakeholders.
            Simulation should be used when the penalties of a proposed action, plan or design cannot be
            directly and right away observed (i.e., the consequences are postponed in time and/or dispersed
            in  space) and/or  it is  just impractical  or  prohibitively  luxurious  to  test  the  alternatives
            straightforwardly. For instance, when implementing a strategic plan for a company, the impacts
            are probable to take months (or years) to happen.
            Simulation is mainly valuable when there is important uncertainty concerning the outcome or
            consequences of a particular substitute under consideration.  Probabilistic simulation permits
            you deal with this vagueness in a quantifiable manner.

            Perhaps most  significantly, simulation  should be used when the system under concern  has
            complex interactions and necessitates the input from multiple disciplines. In this case, it is hard
            for any one person to easily recognize the system. A simulation  model can  perform as the
            framework to integrate the various components so as to better understand their communications.
            As such, it becomes a management tool that keeps you focused on the “big picture” without
            getting lost in insignificant details.




               Task    What do you think the best time for simulation to be valuable?






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