major insights collected in a retrospective comparative analysis of eight strategic projects in which ‘policy gaming’ was the major methodology. Policy gaming uses gaming-simulation to assist organizations in policy exploration‚ decision making and strategic change. The process combines the rigor of systems analysis and simulation techniques with the creativity of scenario building and the communicative power of role-play and structured group techniques. Reality is simulated through the interaction
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Summary…………………………………………………………………………………2. Introduction……………………………………………………………………………………………3. Preparation of Everest simulation………………………………………………………………….3 Critical Analysis of Attitudes / groups and teams of Everest simulation 1 and 2 Group Experience and result……………………………………………………………………….. Individual experience and result……………………………………………………………………. Critical Analysis of Leadership of Everest Simulation 1 and 2 Group experience and result……………………………………………………………. Individual Experience and result…………………………………………………
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2011 International Conference on Management and Artificial Intelligence IPEDR vol.6 (2011) © (2011) IACSIT Press‚ Bali‚ Indonesia Case Study for Restaurant Queuing Model Mathias Dharmawirya School of Information Systems Binus International – Binus University Jakarta‚ Indonesia mdharmawirya@binus.edu Erwin Adi School of Computer Science Binus International – Binus University Jakarta‚ Indonesia eadi@binus.edu busy fast food restaurant [3]‚ as well as to increase throughput and efficiency [5]
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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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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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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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the correspondence between these real options and financial options? Theoretically real options and financial options are very similar‚ however real options are usually solved through numerical methods (ex post) the binomial method or Monte Carlo simulation‚ since these methods allows more flexibility for setting up scenarios. What other real options does the owner of Antamina have? There are basically three options: • Option to Abandon • Option to Abandon at year 2 with penalty • Option
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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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Developments in Business Simulation and Experiential Learning‚ Volume 26‚ 1999 STUDENT EXPERIENCES IN THE INTERNATIONAL COLLEGIATE BUSINESS POLICY GAME COMPETITION William D. Biggs‚ Beaver College Michelle Duffy‚ U.S. Navy David Leposa‚ Chrysler Credit Corporation Andrew Milne‚ Vital Solutions International‚ Inc. Eleanor Schwartz‚ Bell Atlantic ABSTRACT This condensed paper provides comments from four students who represented Beaver College in the 1998 International Collegiate Business Policy Game
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Micromoters Simulation The first thing I noticed with this simulation was how complex it was compared to the first simulation with Universal. But also I noticed right away that being fired was also easy to do‚ and did occur as I was trying to figure out exactly how to run the simulation. Once I had a descent understanding of the simulation I was noticing it was uneasy to make all of the customers very satisfied and really easy to make them very dissatisfied. When I would start running the simulation
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