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More about Manufacturing Simulation. More about Supply Chain Simulation. Scroll down to learn more. How It Works Discrete Event Simulation Discrete event simulation describes a process with a set of unique, specific events in time. Leader in Discrete Event Simulation. Fortune Approved The majority of Fortune firms use Arena.

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Best in Business Arena is taught in more business schools than the next 4 competing products combined. Unmatched Speed Get quicker solutions and test more scenarios with the fastest simulation tool available. Arena in Action Arena simulation improves business processes. How do we minimize aircraft turnaround time?


They developed a model of their largest air hub using Arena Simulation Software. Can now experiment and test operational changes before implementing them. A hospital asked. How can we best improve patient waiting times? They developed a simulation model to evaluate possible improvement scenarios using Arena Simulation Software. They realized that their planned course of action would not have the desired outcome. The Maschhoffs, the largest family-owned pork producer in the U. How can we better respond to disruptions in our supply chain? They created a supply chain simulation from production partner's daily analytics using Arena Simulation Software.

This course presents an introduction to discrete event simulation.

Simulation Modeling and Analysis with Arena Chapter 5 14 Queues statistics from

Discrete event simulation is perhaps the most useful and widely used analytic tool for the study of complex industrial systems. It is also quite useful for simulating many other random processes that are not amenable to mathematical analysis. Examples abound in finance, economics, communications, EE, statistics and many other fields. Course Objectives.

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This course has two main objectives. First you will gain proficiency in the use of a special purpose simulation language in order to be able to build useful models.

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Currently, this is the best and most advanced simulation software system available. You will learn to build valid and credible simulation models in ARENA, and be able to use these models to solve industrial problems.

1st Edition

The second goal is to learn the important theory and methodology behind simulation modeling. This is necessary in order to build valid models, perform simulation experiments, analyze results properly, and avoid costly and sometimes subtle errors.

Main topics include output analysis, input analysis, random number generation, random variate generation, Monte Carlo simulation, and model validation and verification. Upon completion of this course, students will:. Homework assignments are an important aspect of this class due to the heavy use of computers. You will do homework in groups of three , and everyone is expected to share the load.

We will have two important and extensive projects as well. I encourage each group of undergraduates to enter this contest you will be doing all the work anyways. Please see the handout on the Simulation Contest. Course Information. We will use Coursesite to distribute course notes and assignments, and for submitting assignments. IE Engineering Statistics or the equivalent is absolutely necessary.

Course Meeting Times. Lecture: Monday, Wednesday PA Lab: Thursday, or , Mohler on campus students. Friday, distance students. Professor Lecture.

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Robert H. Office: Mohler Lab.

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Office Phone: Thurs , Fri Mohler Teaching Assistant Lab instructor. Serdar Yildiz.

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