Strayer university | Problem Solving & Spreadsheet Modeling | CIS331 | 12/16/2012 | This paper talks about the problem solving process along with examples‚ as well as one of more commonly used modeling and analytical techniques‚ i.e. spreadsheet modeling. It also talks about its dependency‚ its uses‚ disadvantages and well as explores ways to better this very new‚ but powerful technique. | Modeling is the process of creating a simplified representation of real life problems and
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3 Cost-Volume-Profit Analysis Learning Objectives 1. Explain the features of cost-volumeprofit (CVP) analysis 2. Determine the breakeven point and output level needed to achieve a target operating income 3. Understand how income taxes affect CVP analysis 4. Explain how managers use CVP analysis in decision making 5. Explain how sensitivity analysis helps managers cope with uncertainty 6. Use CVP analysis to plan variable and fixed costs 7. Apply CVP analysis to a company producing multiple
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On December 2011‚ Whirlpool accused Samsung Electronics Co. and LG Electronics Inc. of "dumping" washers made in Korea and Mexico into the U.S. market at prices below their production costs. According to Korea Yoongang Daily‚ Whirlpool determined that Samsung and LG have sold large washers in the U.S. at “dumping margins of 9.29 percent to 82.41 percent.” After investigating from January 2012‚ the US government reached to decision was a 9.29% tariff was imposed on Samsung Electronics and 13.02% on
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Format BUSINESS 2710: Modeling and Implementing Business Process REVIEW CLASS 1 Evaluation Scheme Description SECTION A: Process design Weighting 25% SECTION B: Business Process Modeling Assessment of Business Process 10% IT Support 10% Organizational Context 5% Process Redesign 10% SECTION C: SHORT ANSWER (4) Selection of questions based on material covered throughout the course. Choose any 4 out of 8 questions. BUSINESS 2710: Modeling and Implementing Business
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SIAM REVIEW Vol. 47‚ No. 4‚ pp. 775–798 c 2005 Society for Industrial and Applied Mathematics Modeling Basketball Free Throws∗ Joerg M. Gablonsky† Andrew S. I. D. Lang‡ Abstract. This paper presents a mathematical model for basketball free throws. It is intended to be a supplement to an existing calculus course and could easily be used as a basis for a calculus project. Students will learn how to apply calculus to model an interesting real-world problem‚ from problem identification all the
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Ronald Coase noted‚“The cost of doing anything consists of the receipts that could have been obtained if that particular decision had not been taken.” For example‚ the opportunity set for this Friday night includes the movies‚ a concert‚ staying home and studying‚ staying home and watching television‚ inviting friends over‚ and so forth. The opportunity cost of taking job A included the forgone salary of $102‚000 plus the $5‚000 of intangibles from job B. Opportunity cost is the sacrifice of
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testing‚ analysis or training where real-world systems or concepts can be represented by a model. *Modeling and simulation (M&S) provides virtual duplication of products and processes -Represents those products or processes in readily available and operationally valid environments. *Use of models and simulations can reduce the cost and risk of life cycle activities. WHY USE MODELING? *Modeling and simulation have become very important tools across all acquisition-cycle phases and all applications:
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Discuss why and how you would use a liner programming model for a project of your choice‚ either from your own work or as a hypothetical situation. Be sure that you stae your situation first‚ before you develpp the LP model Linear programming is a modeling technique that is used to help managers make logical and informed decisions. All date and input factors are known with certainty. Linear program models are developed in three different steps: Formulation Solution Interpretation The
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1. Introduction 2 2. Certification 2 3. Getting Started 3 4. ‘Bang for the Buck’ Data Models 23 5. Design Patterns 23 6. Master Data Management (MDM) 36 7. Build your Own 57 8. Generic Data Models 79 9. From the Cradle to the Grave 88 10. Commercial Web Sites 108 11. Vertical Applications 109 Appendix A. Business Rules 114 Appendix B. Glossary of Terms 114 1. Introduction 1.1 Our Approach This book adopts a unique approach which is based
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onomics 1. The chief economist for Argus Corporation‚ a large appliance manufacturer‚ estimated the firm’s short-run cost function for vacuum cleaners using an average variable cost function of the form. AVC= a + bQ+ cQ^2 (the 2 is suppose to be exponent) Where AVC=dollars per vacuum cleaner and Q=number of vacuum cleaners produced each month. Total fixed cost each month is $180‚000. The following results were obtained: Dependent Variable:AVC R-Square
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