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Simulation and Modelling Sandeep Kumar, Lovely Professional University
Notes Unit 11: Design and Evaluation of Simulation
Experiments (I)
CONTENTS
Objectives
Introduction
11.1 Simulation Experiment
11.1.1 Advanced Properties
11.1.2 Model Time Properties
11.1.3 Presentation Properties
11.1.4 Windows Properties
11.1.5 Parameters Properties
11.2 Length of Simulation Run
11.3 Variance Reduction Techniques
11.3.1 Common Random Numbers
11.3.2 Antithetic Variables
11.3.3 Control Variates
11.3.4 Conditioning
11.4 Summary
11.5 Keywords
11.6 Self Assessment
11.7 Review Questions
11.8 Further Readings
Objectives
After studying this unit, you will be able to:
Understand length of simulation runs
Discuss variance reduction techniques
Introduction
Simulation models provide relatively fast and economical estimates of the performance of
alternative system configurations and/or alternative operating procedures. This tutorial provides
some techniques for planning a set of simulation model runs, in order to gain insight on system
behavior. There is an emphasis on graphical methods for planning the experiment and displaying
the results.
11.1 Simulation Experiment
When a new project is formed, one simulation experiment, called Simulation, is automatically
created. You can create your own experiments and set up any simulation settings you like.
186 LOVELY PROFESSIONAL UNIVERSITY