Electronic Commerce – Application Case: Boeing’s spare PART marketplace 1. What motivated Boeing to create PART? Boeing‚ the world’s largest maker of airlines was disposed to deliver a good customer service‚ especially for maintenance needs and spare parts. Before Boeing established the PART marketplace‚ it was a very complex and costly process for customers to get a specific part they needed. These parts were ordered by telephone or fax‚ that’s why Boeing had to install a lot of labor to
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Our first task was to study the market research and decide our initial strategy. To decide our initial strategy‚ first we analyzed the different types of research data. There were five segments to choose from; Cost cutter‚ Work horse‚ Innovator‚ Mercedes and Traveler. We reviewed the customer needs for each segment and the information regarding how customers intend to use computers. After that we looked at the average price each segment was willing to pay for the ideal brand in different cities
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The Most Famous Online Marketplaces A few decades ago‚ the ideas of shopping online were not as popular as today. People talked about it as an unsecure method of shopping. Nowadays‚ it becomes a new trend of shopping. For most people‚ it’s the fastest and cheapest way to buy all the thing that they need. They just need to access the Internet with a computer‚ and then they can easily do the shopping online at anywhere and anytime. As the result‚ thousands of online shopping websites were born. However
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ICS 2307 SIMULATION AND MODELLING Course Outline Systems modelling – discrete event simulation Design of simulation experiments simulation Language probability and distribution theory Statistical estimation‚ inference and random number generators Sample event sequences for random number generation Translation of models for simulation application References Simulation modelling and analysis Introduction Computers can be used to imitate (simulate) the operations of various kinds of real
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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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HBP management simulation Analysing cause and effect relationship Team attributes: The team morale (TM) and stress level (SL) seem to be caused by common parameters. Their correlation is first positive and then becomes negative. The turning point is at the SL 1.2 approximately. The effects of positive and negative stress explain this relation‚ respectively. A SL below 0.9 is low‚ indicating the team is bored and is linked to low TM‚ which reflects an absence of challenge. Here‚ an increase
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Simulation Review Angel Falcione Mark Williams January 19‚ 2015 Simulation Review Introduction In this paper I will discuss the financial accounting decisions made while participating in the simulation review at The Elijah Heart Center Hospital. According to financial indicators of the simulation‚ the best choices need to be made in the areas of capital shortage‚ purchasing new medical equipment‚ and funding options for capital expansion. I will also include a summary and conclusion that discusses
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..................................................................................................................................................... Using Simulation-Based Training to Enhance Management Education EDUARDO SALAS JESSICA L. WILDMAN University of Central Florida RONALD F. PICCOLO Rollins College We suggest that simulation-based training (SBT) offers many advantages as an approach for management education‚ and in an effort to guide and encourage its appropriate use‚ we provide several
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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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Acquisitions 4 3. Implicit assumptions of the Monte Carlo simulation 4 3.1 Capital expenditure 5 3.2 Investment in intangibles 5 3.3. Working Capital 5 3.4 Consistency between implicit and explicit assumptions 5 4. Description of the working of the simulation 6 5. The results of the simulation in comparison with Diageo ’s stated capital structure policy 6 5.1 Diageo ’s stated capital structure policy 6 5.2 The results of the Monte Carlo simulation 7 5.3 Increase in gearing for Diageo 7 6. Conclusion 8
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