Business‚ The George Washington University‚ Washington‚ DC 20052‚ USA. E-mail: kwak@gwu.edu A b stra ct Monte Carlo simulation is a useful technique for modeling and analyzing real-world systems and situations. This paper is a conceptual paper that explores the applications of Monte Carlo simulation for managing project risks and uncertainties. The benefits of Monte Carlo simulation are using quantified data‚ allowing project managers to better justify and communicate their arguments when senior
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client for execution of a project. Mr. Clark‚ Director‚ Central Region Appshop Inc had to make a decision on either accepting any one of the prices suggested by the client or participate in the bidding process. The case involves using Monte Carlo Simulation and Triangle Distribution to figure out the best possible option for Appshop Inc. Executive Summary Appshop Inc was a privately held‚ independent full-service Oracle consulting‚ applications and outsourcing company with revenues of $ 25 million
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REAL TIME DISCRETE EVENT SIMULATION OF A PCB PRODUCTION SYSTEM FOR OPERATIONAL SUPPORT This is a summary of the paper titled “Real Time Simulation of a PCB Production System for Operational Support” by Mats Jackson and Christer Johansson in the 1997 Winter Simulation Conference. I picked this paper because it deals with how Discrete Event Simulation (DES) is used to assist a crucial methodology in the current market – “Agile” manufacturing. Nowadays‚ the customers want better products available
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The Benefits of Video Games In this modern world where technology is very advanced‚ video games have become one of the most favored means for people who seek fun and entertainment. However‚ despite of their popularity‚ many parents are concerned of the harmful effects that it can bring to their children. In most cases‚ video games cause addiction to children‚ and this is especially true when parental control is weak. Due to this addiction‚ many children may have problems with their behavior or
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ntroduction to Monte Carlo simulation This article was adapted from Microsoft Office Excel 2007 Data Analysis and Business Modeling by Wayne L. Winston. Visit Microsoft Learning to learn more about this book. This classroom-style book was developed from a series of presentations by Wayne Winston‚ a well known statistician and business professor who specializes in creative‚ practical applications of Excel. So be prepared — you may need to put your thinking cap on. In this article * Overview
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This assessment requires you to reflect on the team experience that you have now been part of (climbing Everest). As suggested you should use the notes or diary that you kept while doing the team simulation and also make reference to relevant theories or materials read so far on the course. Guidelines for Content Individual Reflections - Word Count: 1‚000 1) Introduction to Team and Team Roles 2) Discuss two or more of the following • team synergy and information sharing • goal conflict
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Two Rainfall-Runoff Models were earlier identified for application and for the generation of a more reliable discharge data. These are the Thornwaite Water Balance Model (WBM) and the IHACRES. The input requirement of both models differ. For the WBM‚ generation of runoff requires seven input parameters. These are the Runoff Factor (RF)‚ Direct Runoff factor (DRF)‚ Soil Moisture Storage Capacity (SMSC)‚ Latitude of location‚ Rain Temperature Threshold‚ Snow Temperature Threshold and Maximum Snow Melt
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SUBMITTED TO: - PROF. DR SADIA SAMAR ALI SUBMITTED By: - Group No.5 Neha Malik 124 Davindar Pal Singh 125 Atul Singh 178 Kaptan 179 Raj Kumar 158 OPERATION MANAGEMENT ON SUCCESSFUL OR APPLICATION CASES SUBMITTED TO: - PROF. DR SADIA SAMAR ALI SUBMITTED By: - Group No.5 Neha Malik 124 Davindar
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distribution. Call arrival in a cellular system are assumed to be poisson distributed. In this case the simulation period of 1 hour and the mean arrival is equal to 100 calls per hour. The graph above shows that the number of calls arrivals in multiple simulations follows poisson distribution along with a comparison with the theoretical poisson distribution. 2.3 Call Holding time Simulation Graph shows the reference Poisson distribution function and the distributed call holding
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affect the performances. DOE also used to planning‚ designing and analyzing the experiment so that the objectives can be achieved and obtain effective results. The use of DOE in experiment reduce the time and effort with the availability of modern simulation tools such as the Advance Design Systems (ADS) and High Frequency Simulator Structure (HFSS) software that both have been use in this experiment. DOE is used in this project to vary the factor of the microstrip taper interconnection design.
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