Budapest/Hungary UNIVERSITÉ DU HAVRE IUT GEA Le Havre/France ARKHÉ Kalypso An Educational Module of Management and Strategy Perfection ENTERPRENEUR’S HANDBOOK Made by Mr. Csaba Sólyom Senior lecturer of the BBS Educational simulation of company management‚ Distributed exclusively by ARKHÉ International. All rights reserved. © Copyright ARKHÉ international 1995. Research Centre in Pedagogy of Management 580‚ Cours de la Libération - 33400 Talence Telephone: 56 37 29 38 - Fax: 56 04 01 20 ARKHÉ
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Chapter 1: Types of Simulation Contents Introduction ................................................................................................................................ 2 The Basic Simulation Process................................................................................................... 2 Figure 1.01: Basic Simulation Process............................................................................ 2 Figure 1.02: Decision Cycle.........................................
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real estate development natural resource exploration‚ respectively. Sprigg Lane employed a total of 525 people and had revenues of $30 million in 1987. Sprigg Lane Natural Resources was formed to pursue natural resource exploration because SLIC management felt that favorable tax laws provided them opportunities to achieve significant profits in this arena. Their primary goal was to find and produce natural gas from shale‚ to capture the so-called "Section 29" tax credits associated with such gas
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continue to grow if the capacity and facilities at UK airports is growing too. The current debate over capacity of UK airports has been going on for several periods‚ predominantly in the South-East of the country. The numbers of passengers are increasing significantly every year‚ and this growth will continue regardless of whether the capacity of the airport is sufficient or not. There are many considerations that can be taken into account as potential solutions for this capacity constraints problem
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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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Microeconomics and the Laws of Supply and Demand: A Simulation D. Buress ECO/365 February 2‚ 2015 R. Caratao Microeconomics and the Laws of Supply and Demand: A Simulation The simulation this week was based on an apartment rental agency‚ GoodLife Management‚ in the fictitious town of Atlantis. GoodLife Mgmt. manages the month-to-month rental of 2- bedroom apartment units. By using different situations and assumptions‚ the simulation provides examples of how certain market factors can affect the supply
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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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"Capacity" means the ability to use and understand information to make a decision‚ and communicate any decision made. A person lacks capacity if their mind is impaired or disturbed in some way‚ and this means the person is unable to make a decision at that time. Examples of how a person’s capacity may be impaired include: • mental health conditions – such as schizophrenia or bipolar disorder • dementia • severe learning disabilities • brain damage – for example‚ from a stroke or other brain injury
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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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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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