TB0245 Andreas Schotter Mary Teagarden Blood Bananas: Chiquita in Colombia No one laughs at the banana in its areas of origin. It is too serious a business‚ on which jobs and lives depend. Peter Chapman‚ Author of Jungle Capitalists. For Chiquita Brands International‚ a pioneer in the globalization of the banana industry‚ bananas are not only serious business‚ they represent an array of economic‚ social‚ environmental‚ political‚ and legal hassles. Since its founding more than a hundred years
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18th European Symposium on Computer Aided Process Engineering – ESCAPE 18 Bertrand Braunschweig and Xavier Joulia (Editors) © 2008 Elsevier B.V./Ltd. All rights reserved. Optimization of Preventive Maintenance Scheduling in Processing Plants DuyQuang Nguyen and Miguel Bagajewicz The University of Oklahoma‚ R. T-335 SEC‚ 100 E. Boyd‚ Norman‚ OK 73019‚ USA Abstract A new methodology designed to optimize both the planning of preventive maintenance and the amount of resources needed to perform
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References: Jorion‚P (1996) “Measuring The Risk In Value At Risk” financial analyst journal Hoadley‚P (2011) “Option Pricing Models and the "Greeks” Hull‚j‚c. (2010) “options‚ futures and derivatives” An excellent exposition of the Monte Carlo method is given by Hammersley and Handscomb (1964). Shreider (1966). Fishman (1973) and Meyer (1956) provide additional useful references.
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married Delphine Daffis‚ the daughter of a publisher. They would spend their summers in Lucerne‚ Switzerland‚ where Escoffier was hired by Cesar Ritz to manage the kitchens at the Hotel National. Escoffier and his wife would spend their winters in Monte Carlo‚ where he served as Director of Cuisine at the Grand Hotel. From 1890 to 1898 Escoffier served as Head of Restaurant Services at London’s first modern luxury hotel‚ The Savoy‚ and Cesar Ritz took the position of General Manager. Escoffier worked
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4. Risk Analysis 4.1. Objectives of Risk Analysis Typically‚ a project’s qualitative risk assessment will recognize some risks whose occurrence is so likely or whose consequences are so serious that further quantitative analysis is warranted. A key purpose of quantitative risk analysis is to combine the effects of the various identified and assessed risk events into an overall project risk estimate. This overall assessment of risks can be used by the transportation agency to make go/no-go decisions
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Within the realm of Artificial Intelligence there are several secs which are responsible for making up that which is A.I. Normally when an individual thinks of Artificial Intelligence a few things come to mind such as the HAL 9000 system‚ known as “the inimitable star of the classic Kubrick and Clarke film ‘2001: A Space Odyssey’”(Picard 2001)‚ others will think of the movie “Blade Runner”‚ this film featured an alternate future where a group of individuals were responsible for tracking down cyborg
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FINAL EXAM MGT 5088 Project and Program Risk Management Susan H. Davenport August 6‚ 2009 1. Discuss Risk Process and Practices. Why do professionals mandate Risk Management? a) Discuss Risk Process and Practices. Project Managers must determine the success criteria for managing a project to identify risks that could possibly impede customer requirements. Risk Management is a disciplined‚ systematic process to obtain the maximum benefits associated
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Variance 18 Discount Rate 18 Biases 19 Monte Carlo Simulation – Workflow 19 Choices under Uncertainty 20 Spider/Tornado diagramm 21 Risk / Uncertainty 21 Strategic Management‚ Portfolio Management‚ Programm Management‚ Project Management 22 Bayes Rule: 22 Sensitivity Analysis: 22 Measure of Profitability and Performance 23 Net Profit 23 Payout 23 Return on Investment 23 Define sunk costs and give an example. Rate acceleration example. The difference between Monte Carlo sampling and Latin Hypercube sampling
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Backtesting Value-at-Risk Models Kansantaloustiede Maisterin tutkinnon tutkielma Olli Nieppola 2009 Kansantaloustieteen laitos HELSINGIN KAUPPAKORKEAKOULU HELSINKI SCHOOL OF ECONOMICS HELSINKI SCHOOL OF ECONOMICS Department of Economics BACKTESTI G VALUE-AT-RISK MODELS Master’s Thesis in Economics Olli Nieppola Spring Term 2009 Approved by the Head of the Economics Department ___/___ 200___ and awarded the grade ____________________________________________ Author:
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Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl‚ N. M. Steiger‚ F. B. Armstrong‚ and J. A. Joines‚ eds. RISK MANAGEMENT IN SUPPLY NETWORKS USING MONTE-CARLO SIMULATION Léa A. Deleris Feryal Erhun Department of Management Science and Engineering Stanford University Stanford‚ CA 94305 U.S.A. ABSTRACT Trends such as (1) globalization‚ (2) heavy reliance on transportation and communication infrastructures‚ and (3) lean manufacturing have led to an increase in the vulnerability of
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