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Discrete Event Simulation

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

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Description

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.

4.2014

Lecture recordings

11.Oct.201625:04360
LO 0: Overview
Overview
11.Oct.201601:04:58239
LO 1: Introduction to Simulation
Overview and Learning Scope, Introduction, Systems, Components of Systems
11.Oct.201601:44:23157
LO 1: Introduction to Simulation
Discrete and Continiues Systems, Model of a System, Type of Models, Summary and Exercises, References and Further Readings, Outlook
12.Oct.201601:27:53113
LO 2: Simulation Examples
Overview and Learning Scope, Introduction, Simulation of Queuing Systems, Simulation of Inventory Systems
12.Oct.201601:26:1268
LO 2: Simulation Examples
Simulation of Manufacturing Systems, Summary and Exercises, References and Further Readings, Outlook
12.Oct.201636:1488
LO 3: Simulation Software
Overview and Learning Scope, Introduction
12.Oct.201612:1939
Department of Electrical Engineering University of Nebraska-Lincoln
Department of Electrical Engineering University of Nebraska-Lincoln
12.Oct.201641:5244
Systems, Models and their Characteristics
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
12.Oct.201601:30:0750
LO 3: Simulation Software
History of Simulation Systems/Software, Simulation Software Systems/Packages, Summary and Exercises, References and Further Readings, Outlook
12.Oct.201601:20:5547
LO 4: Statistical Models in Simulation
Overview and Learning Scope, Introduction, Terminology and Concepts, Statistical Models
12.Oct.201601:22:5518
LO4: Statistical Models in Simulation
Distributions, Summary and Exercises, References and Further Readings, Outlook
12.Oct.201625:0426
LO 5: Queuing Models
Overview and Learning Scope, Introduction, Characteristics of Queuing Systems
12.Oct.201601:34:0312
LO 5: Queuing Models
Queuing Notation
12.Oct.201601:34:0920
LO 5: Queuing Models
Queuing Notation, Steady State Behavior of Finite Population Models, Networks of Queues, Summary and Exercises, References and Further Readings,
Outlook
12.Oct.201601:51:2236
LO 6: Manufactoring and Material Handling Systems
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
12.Oct.201601:36:1730
LO 7: Verification and Validation of Simulation Models
Overview and Learning Scope, Introduction, Verification, Validation, Techniques for Increasing Model Validity, Proofs, Summary and Exercises, References and Further Readings, Outlook
12.Oct.201601:10:2263
LO 8: Discrete Event Simulation Case Studies
Overview and Learning Scope, Introduction, Use Case I, Use Case II, Use Case III, Summary and Exercises, References and Further Readings, Outlook
  • Short information

    Semester: SS 2014

    Lecture number: S 0504

    English
    20:04:09
    16.Apr.2014
    1.410
  • Contributors
    Camera
    Anja Michaela Kaiser
    Lecturer
    Prof. Dr.-Ing. Dietmar P. F. Möller
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    Additional information about the lecture:
    Institut für Mathematik or in the directory of lectures