Video-Server > Vorlesungen > Discrete Event Simulation

by Prof. Dr.-Ing. Dietmar P. F. Möller

Semester: summer semester 2014

Course number: S 0504

The lecture give an introduction into the theoretical and methodological background of discrete-event modeling and simulation. Based on this knowledge applications about discrete-event simulation as case study examples will be introduced to show how to apply the gained knowledge in an area of concentration. This require at the very first the clear problem formulation, setting of objectives and an overall project plan, model conceptualization, data collection, model translation and verification, and finally simulation runs and validation of obtained results. Therefore the class introduce into the basics of simulation with a specialization on concepts in discrete event simulation. Based on that simulation software tools will be introduced to link with the execution of mathematical and statistical models. These model types will be introduced as statistical models in simulation and queuing models. With this knowledge the analysis of simulation data as well as verification and validation of simulation models will be introduced and discussed in the very detail based on case study examples to integrate the essential knowledge for own Discrete Event Simulation class work of Part I.

Additional information about the lecture:

Institut für Angewandte Stochastik und Operations Research or in the directory of lectures

Camera | Anja Michaela Kaiser |

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What is a System?, Examples of System, Properties of a System, Attributes of a System, Boundary of a System, What is an Experiment?, Ways to study a System,

Classification of Systems, Complexity of a System, Modeling Methods for Complex Systems

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History of Simulation Systems/Software, Simulation Software Systems/Packages, Summary and Exercises, References and Further Readings, Outlook

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Overview and Learning Scope, Introduction, Terminology and Concepts, Statistical Models

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Distributions, Summary and Exercises, References and Further Readings, Outlook

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Overview and Learning Scope, Introduction, Characteristics of Queuing Systems

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Queuing Notation, Steady State Behavior of Finite Population Models, Networks of Queues, Summary and Exercises, References and Further Readings,

Outlook

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Overview and Learning Scope, Introduction, Manufactoring and Material Handling Systems, Goals and Performance Measures,

Simulation of Manufactoring and Material Handling Systems, Summary and Exercises, References and Further Readings, Outlook

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Overview and Learning Scope, Introduction, Verification, Validation, Techniques for Increasing Model Validity, Proofs, Summary and Exercises, References and Further Readings, Outlook

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Overview and Learning Scope, Introduction, Use Case I, Use Case II, Use Case III, Summary and Exercises, References and Further Readings, Outlook