Number: (443)956-6067 E-mail Address: surban1@jhu.edu Teaching Assistant Ben Brock: bbrock1@jhu.edu Office Hours Saturdays‚ 10:00am – 12:30pm at DC Center (room 201) or by appointment Required Text and Learning Materials: Stochastic Simulation and Applications in Finance with MATLAB Programs‚ (2008)‚ Huu Tue Huynh‚ Van Son Lai‚ Issouf Soumare (HLS) [this book may be available as an e-book for students] MATLAB: An Introduction with Applications 4th Edition (2010) or earlier Editions
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This simulation game was developed by Sisk (1976). Basically‚ there are ten imaginary countries (Shima‚ Myna‚ Ila‚ Usa‚ Pam‚ Bonay‚ Shivey‚ Lani‚ Ranu and Bili) and each of these countries has three key elements to be considered: defense‚ resources and demography. The main purpose of this game‚ understanding the importance of negotiation and interdependence between countries. I would like to make some changes in the game for my class. Every student or group will choose their imaginary country.
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Global Supply Chain Management Simulation Debrief Slides ©© Enspire Enspire Learning Learning and and Harvard Harvard Business Business School School (revised Dec 2010) 1 Board Members’ Objectives Member Objective Betty Forecasting: choice of options (consensus vs. mean) Doug Forecasting: choice of options (role of risk) Yvonne Stocking Levels: Weighing the costs of over/understocking Meryl Production flexibility: accurate response/ sourcing strategy (focus on flexibility) Paul Production
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Market Structure Simulation Quasar Computers When industries are selling similar products this makes up market structure. I will be discussing economic profit that Quasar computer is able to make. The market structure is made of the following pure monopoly‚ pure competition‚ monopolistic competition‚ and oligopoly. In the simulation I learn about pricing and non pricing strategies and understanding the diverse market structure. Quasar put out a new first all-optical notebook that is called
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1. What did you observe in inventory and back order levels when you play the game in uncoordinated and coordinated modes? What are the underlying reasons for the problems associated with uncoordinated decision-making? Based on the results you found in the previous part‚ list the potential benefits of coordination. (max 0.75 page) 2. What are the steps companies can take in order to reduce the problems associated with uncoordinated decision-making? Discuss also the potential implementation issues
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The Matrix depicts a late twentieth century version of Earth where machines have taken over and are using humans as a power source‚ while having them experience life via a virtual simulation called the Matrix. The protagonist of the story Neo‚ or the One‚ has been recently awakened from the Matrix and is destined to free humanity. Following its 1999 release‚ a multitude of articles have been written about the film‚ each analyzing the meaning and implications of it in different ways. In one of these
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The Bailey Prospect[1] It is Thursday‚ May 18‚ 1988. Your assignment is to help Sprigg Lane Natural Resources evaluate the risks associated with a potential investment in the "Bailey Prospect‚" a natural gas opportunity in Doddridge County‚ West Virginia. Your colleague‚ Lisa Weatherford has done a thorough base-case analysis and constructed a spreadsheet model that you can use in your analysis. You and Lisa are financial analysts at Sprigg Lane Investment Corporation. Background Sprigg
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A QUEUEING SYSTEM STUDY FOR REFUELING SERVICE AT SHELL GASOLINE STATION OF MAHAYAG‚ ISABEL‚ LEYTE Undergraduate Thesis VISAYAS STATE UNIVERSITY Visca‚ Baybay City‚ Leyte‚ Philippines DENNIS RODADO ARAÑO Second Semester S.Y. 2009-2010 A QUEUEING SYSTEM STUDY FOR REFUELING SERVICE AT SHELL GASOLINE STATION OF MAHAYAG‚ ISABEL‚ LEYTE VISAYAS STATE UNIVERSITY Visca‚ Baybay City‚ Philippines DENNIS RODADO ARAÑO April 2010 VISAYAS STATE UNIVERSITY Visca‚ Baybay‚ Leyte 6521-A
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SPE-152022-PPSPE-152022-PP on Sour Gas Development Project Case Study Copyright 2012‚ Society of Petroleum Engineers This paper was prepared for presentation at the SPE International Production and Operations Conference and Exhibition held in Doha Qatar‚ 14–16 May 2012. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper have not been reviewed by the Society of Petroleum
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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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