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1 Simulation and Modelling 6 – Model Translation Yumarsono Muhyi STMIK Supra Even Semester 2008/2009 June 4th, 2009.

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Presentation on theme: "1 Simulation and Modelling 6 – Model Translation Yumarsono Muhyi STMIK Supra Even Semester 2008/2009 June 4th, 2009."— Presentation transcript:

1 1 Simulation and Modelling 6 – Model Translation Yumarsono Muhyi STMIK Supra Even Semester 2008/2009 June 4th, 2009

2 2 About Me Yumarsono Muhyi Yumarsono Muhyi Head of Information System Dept., STMIK Supra Head of Information System Dept., STMIK Supra Undergraduate of Electrical Engineering, Telecommunication - ITB Undergraduate of Electrical Engineering, Telecommunication - ITB Management Magister, Sistem Informasi - UPN (final semsester dan thesis) Management Magister, Sistem Informasi - UPN (final semsester dan thesis) Research Field: Computation, Operational Research, Optimation, Simulation Research Field: Computation, Operational Research, Optimation, Simulation y.muhyi@gmail.com (email and chat) y.muhyi@gmail.com (email and chat) y.muhyi@gmail.com y.muhyi@yahoo.com (mostly chat) y.muhyi@yahoo.com (mostly chat) y.muhyi@yahoo.com 0856-9117-2669 / (021) 93131-633 0856-9117-2669 / (021) 93131-633

3 3 Lessons 1. 1. Introduction 2. 2. Simulation Program Selection 3. 3. Model Translation Section Content 4. 4. Program Organization

4 4 1. Introduction The objective: to translate the system into a computer model that can be used to generate experimental data. This is a two-step process: 1. 1. Decide what type of computer program to utilize to model the system. 2. 2. Perform the programming of the simulation model.

5 5 2. 2. Simulation Program Selection The The choice of a particular simulation software package may be based on: Advances in computer hardware Software cost Practitioner preference Simulation-Specific Programming Languages: Arena Automod Simscript

6 6 3. 3. Model Translation Section Content This philosophy includes approaches for programming the model: Getting started Version management Programming commenting Program organization Mnemonic naming conventions Advanced program planning Multiple practitioner program development

7 7 4. 4. Program Organization Why simulation programs can easily become disorganized How to use subroutines and subroutine views Programming hot keys Mnemonic naming conventions Thinking in advance

8 8 The End Discussion. Discussion. Question and answer. Question and answer. Case study. Case study.

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