This paper is a reflection on three simulations as each relates to strategic planning. The first simulation‚ “Thinking Strategically‚” highlights the importance of environmental scanning. The second simulation‚ “Developing Grand Strategies‚” challenged decisions made for a company which lead to effective strategy formulation and choices. The third simulation‚ “Creating a Strategic Road Map‚” provided a simulated experience of how to build a strategic roadmap focusing on the importance and effectiveness
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Simulation Paper Carlos Young SCI 362 January 3‚ 2013 Kenneth Rayford Simulation Paper In this simulation the issue that is brought up is the fact that a pharmaceutical company is making all sorts of medicines and health products. Their intention is to use the rainforests resources to make the products that is used to help people with their health from the medicines they create. This scenario has the issue of the rainforest being cut down but not kept up with when it comes to being replenished
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SUMMARY UG NX7.5 Motion Simulation Training Package Unigraphics Solutions Company (UGS) is the world famous MCAD suppliers‚ mainly for the automotive and transportation‚ aerospace‚ general machinery and electronics industries. Through its Virtual Product Development (VPD) philosophy‚ UGS supply software product and services to company of multipolarity‚ collective‚ enterprise. Its main products are UG CAD. This UG motion simulation training package mainly introduces some basic knowledge
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Lawrence Sports Simulation FIN/571 April 2‚ 2013 Lawrence Sports Simulation Liquidity must become a primary focus for any business hoping to create sustainable growth. Lawrence Sports‚ a fictional company‚ is presently in need of capital management analysis and methodology overhaul. Learning Team A will discuss three alternative working capital policies that reduce future difficulties and the recommendation on which policy Lawrence Sports should follow. The Three Alternatives “In its day-to-day
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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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Littlefield Technologies Simulation Report Team Name Group A Section Operations Management September 2012 Problem Statement Littlefield Technologies is a low volume‚ high margin manufacturer and distributor of digital satellite system receivers. Littlefield Technologies seeks to minimize production costs and sell at the highest price the market will allow‚ with the end result of maximizing profit‚ or value for shareholders. In order to be successful they
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Overview and Objectives The game was held over a week and enabled us to increase our understanding of inventory management at the production stage in the supply chain. In this game‚ the objective was to accomplish production and delivery of the production within 3 days of lead time. Over the course of the game‚ we were to monitor the production numbers and make adjustments through the number of machines which we owned. Machines affected the revenues through the purchases and the goal was to obtain
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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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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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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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