TAILIEUCHUNG - Introduction to Discrete-Event Simulation and the SimPy Language

In this section you should provide a general overview of your event and be as specific as possible about the activities you are proposing to conduct at the event. When selecting the dates for your event it is a good idea to check whether there are any other events already planned to avoid clashes in events. The timing of your event is also important to consider. Try not to plan your event during known quite periods when many people are out of town. Consider planning your event during the peak season to increase your. | Introduction to Discrete-Event Simulation and the SimPy Language Norm Matloff February 13 2008 2006-2008 . Matloff Contents 1 What Is Discrete-Event Simulation DES 3 2 World Views in DES Programming 3 The Activity-Oriented Paradigm. 3 The Event-Oriented Paradigm . 4 The Process-Oriented Paradigm . 6 3 Introduction to the SimPy Simulation Language 7 SimPy Overview. 8 Introduction to SimPy Programming. 9 Our First SimPy Program. 10 Introducing the Resource Class . 14 Introducing Passivate Reactivate Operations . 16 Do It Yourself Queue Management. 18 Simultaneous Possession of Resources. 20 Dynamic Creation of Threads . 22 Note These Restrictions on PEMs . 25 SimPy Data Collection and Display . 25 Introduction to Monitors . 25 Time Averages . 26 The Function . 27 But I Recommend That You Not Use This Function. 27 1 Little s Rule. 28 Other SimPy Features. 29 A How to Obtain and Install SimPy 29 B Debugging and Verifying SimPy Programs 30 Debugging Tools. 30 Know How Control Transfers in SimPy Programs. 30 Always Know What Simulated Time It Is . 31 Starting Over . 32 Repeatability . 32 Peeking at the SimPy s Internal Event List. 32 SimPy s Invaluable Tracing Library. 33 C Online Documentation for SimPy 33 2 1 What Is Discrete-Event Simulation DES Consider simulation of some system which evolves through time. There is a huge variety of such applications. One can simulate a weather system for instance. A key point though is that in that setting the events being simulated would be continuous meaning for example that if we were to graph temperature against time the curve would be continuous no breaks. By contrast suppose we simulate the operation of a warehouse. Purchase orders come in and are filled reducing inventory but inventory is replenished from time to time. .

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