EP313 Chemical Process Simulation and Design L1 - Introduction 10/1/2014 Process modeling: Concept 1 Identification: our objective is to find structure‚ R of the process. We must know the input‚ I and output‚ O parameters. I R? O 10/1/2014 Process modeling: Concept 2 Simulation: our objective is to get the value of O. We know the structure of the model‚ R and we can simulate what the output‚ O for the given input‚ I. I R O? 10/1/2014 Process modeling
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Monte Carlo Simulation Using RiskSim 10 10.1 RISKSIM OVERVIEW RiskSim is a Monte Carlo Simulation add-in for Microsoft Excel 2000–2010 (Windows) and Microsoft Excel 2004 (Macintosh). RiskSim provides random number generator functions as inputs for your model‚ automates Monte Carlo simulation‚ and creates charts. Your spreadsheet model may include various uncontrollable uncertainties as input assumptions (e.g.‚ demand for a new product‚ uncertain variable cost of production‚ competitor reaction)
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Computer Simulation * A software program that runs on any computer that attempts to simulate some phenomenon based on a scientist’s conceptual and mathematical understanding of the given phenomenon. * The scientist’s conceptual understanding is reduced to an algorithmic or mathematical logic‚ which is then programmed in one of many programming languages (Fortran‚ C‚ C++‚ etc.) and compiled to produce a binary code that runs on a computer. * Have become a useful part of modeling
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Your Mission during the EIS Simulation The Teleswitches Management Team· Structure EIS Simulation .... Getting Started EIS Simulation - Sample Screens & Navigation EIS Simulation - Stopping &. Saving Sessions Appendix A: Cross Reference for Key Navigation Buttons Appendix B: Initiatives (Detailed Descriptions) © AlphaLabs‚ 2006 299 The ’:EIS Simulation’ The Change‚ IT Innovation and People Manageme·nt Challe·nge 1.0 Introduction In the ’EIS Simulation’‚ you will be challenged to
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FINANCE SIMULATION: M&A IN WINE COUNTRY DEBRIEF SLIDES HBP PRODUCT NO. 4807 This PowerPoint presentation was prepared by Professor Timothy Luehrman for the sole purpose of aiding classroom instructors in the use of Finance Simulation: M&A in Wine Country V2 (HBP No. 4805). HBP educational materials are developed solely as the basis for class discussion. These materials are not intended to serve as endorsements‚ sources of primary data‚ or illustrations of effective or ineffective management. Copyright
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Running head: Simulation Assignment Simulation Assignment Michelle Lannon University of Phoenix HCS442 Abstract The simulation exercise consisted of a scenario in which the student was to be a manager at an up and coming facility. There were 3 sets of tasks to be accomplished‚ and the results of the student ’s choices given immediately to the student. Each choice affected the outcome in some way‚ whether positive or negative. Simulation Paper Upon completion of this exercise‚ I discovered
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Microeconomics and the Laws of Supply and Demand: A Simulation D. Buress ECO/365 February 2‚ 2015 R. Caratao Microeconomics and the Laws of Supply and Demand: A Simulation The simulation this week was based on an apartment rental agency‚ GoodLife Management‚ in the fictitious town of Atlantis. GoodLife Mgmt. manages the month-to-month rental of 2- bedroom apartment units. By using different situations and assumptions‚ the simulation provides examples of how certain market factors can affect the supply
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SIMULATION OPTIMIZATION: APPLICATIONS IN RISK MANAGEMENT[1] MARCO BETTER AND FRED GLOVER OptTek Systems‚ Inc.‚ 2241 17th Street‚ Boulder‚ Colorado 80302‚ USA {better‚ glover}@opttek.com GARY KOCHENBERGER University of Colorado Denver 1250 14th Street‚ Suite 215 Denver‚ Colorado 80202‚ USA Gary.kochenberger@cudenver.edu HAIBO WANG Texas A&M International University Laredo‚ TX 78041‚ USA hwang@tamiu.edu Simulation Optimization is providing solutions to
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1. INTRODUCTION Simulation history is viewed in different angles including: -simulation uses e.g. analysis‚ training‚ research. - types of simulation models e.g. discrete-event‚ continuous‚ combined discrete - simulation programming languages or environments e.g. Arena‚ SIMSCRIPT‚SLAM and - application domains or communities of interest e.g. communications‚ manufacturing‚ military‚ transportation). The objective of this history is to highlight people‚ places‚ and events that have marked
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according to the randomization application (random.org). I used the bootstrapping simulation because I want to use this data that I get to represent the whole population (all undergraduate psychology courses offered at IU) and find the confidence interval. Then‚ I run the simulations 100‚000 times as the data have been stabilized at this point. In this case‚ one run of the run simulation means. Each run of this simulation means picking 30 values with replacement from the original sample‚ calculating
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