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    Report on Building Information Modeling (BIM) By Kunal J. Chopda Tirumal Vardhan Reddy Ginnaram Manan Ukani Swaroop Kulkarni kjc2143 trg2118 mdu2104 sck2150 Submitted In requirement of a Term Project for E4132 – Prevention and Resolution of Construction Disputes Civil Engineering Fu Foundation School of Engineering Columbia University‚ New York‚ NY 10027 Report  on  Building  Information  Modeling  (BIM)     0   Acknowledgement We are grateful to Mr. Ethan

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    Optimization Modeling for Inventory Logistics Engineering & Technology Management ETM 540 – Operations Research in Engineering and Technology Management Fall 2013 Portland State University Dr. Tim Anderson Team: Logistics Noppadon Vannaprapa Philip Bottjen Rodney Danskin Srujana Penmetsa Joseph Lethlean Optimization Modeling for Inventory Logistics Contents Abstract .............................................................................................................

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    TAYLMC04_0131961381.QXD 4/14/09 8:33 AM Page 42 Chapter Four: Linear Programming: Modeling Examples PROBLEM SUMMARY 1. “Product mix” example 2. “Diet” example 3. “Investment” example 4. “Marketing” example 5. “Transportation” example 6. “Blend” example 7. Product mix (maximization) 8. Sensitivity analysis (4–7) 9. Diet (minimization) 10. Product mix (minimization) 11. Product mix (maximization) 12. Product mix (maximization) 13. Product mix (maximization) 14. Ingredients mix (minimization)

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    Modeling Gasoline Demand

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    Modeling Gasoline Demand in the United States Economics 375 DePaul University‚ Chicago‚ IL 60601 June 13‚ 2012 Abstract This paper is an econometric approach to the estimation of price and income elasticities of gasoline demand in the United States from a translog model‚ and is based off of the most recent data available for use. This approach allows for variables to interact in a flexible yet instrumental way‚ providing for significant evidence that gasoline demand elasticities are construed

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    modeling the green house

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    Modeling the Greenhouse Effect Aim: The aim behind this experiment is to investigate the consequences of greenhouse gases by recording and comparing the change in temperature every 3 minutes of a flask filled with CO₂ in comparison to a flask filled with air. Introduction: The purpose of this experiment is to impersonate the greenhouse affect in our own lab by comparing and measuring the temperatures of greenhouse gases CO₂ compared to air. The experiment will recognize the difference

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    Ikea Benchmarking

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    Programming Problems with Excel Dr A Lung  Student exercises Kingston University London 1 Linear Programming (LP) • A model consisting of linear relationships representing a firm’s objective and resource constraints • LP is a mathematical modeling technique used to determine a level of operational activity in order to achieve an objective‚ subject to restrictions called constraints • Pioneered by George Dantzig in WWII‚ including Simplex Method Learning objectives:  Identify Objective

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    Caribbean Internet Café[1] case: A tutorial in managerial accounting concepts and financial modeling using Excel Assignment 1: Introduction We will begin our work this semester with a case called Caribbean Internet Café [hereafter‚ CIC]. In the CIC case‚ David Grant wants to open an Internet Café in Kingston‚ Jamaica. This simple business setting is familiar; how many coffee shops‚ drive-up or otherwise‚ can you think of that are within walking distance of campus? Even if you are not a coffee-holic

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    Unified Modeling Language

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    chapter 1 www.hfoobook.com What’s with all the rectangles? NOTE: The “facing page” is not included in this little UML booklet! The four boxes full of text over there on the facing page are our first examples of UML. UML stands for Unified Modeling Language‚ and it’s the most common notation used for creating diagrams that describe object-oriented systems. It’s beyond the scope of this book to teach you everything there is to know about UML. However‚ we’ll be sprinkling in a lot of the really

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    1. StillWater Mining Company a) Interest Rate 12% Price per ounce $ 1‚500.00 Cost per ounce $ 400.00 Total ounces a year 10‚000 Profit per ounce $ 1‚100 Revenue per year $ 15‚000‚000.00 Cost per year $ 4‚000‚000.00 Profit per year $ 11‚000‚000.00 Every year for the next 10 years‚ the firm earns a profit of $11 Million. The cash flow (in $ Million) is shown below: Year T T+1 T+2 T+3 T+4 T+5 T+6 T+7 T+8 T+9 Profit 11 11 11 11 11 11 11 11 11 11 Using NPV formula‚ we find NPV=$62

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    Use Case Modeling

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    Writing Effective Use Cases Writing Effective Use Cases Alistair Cockburn Humans and Technology in preparation for Addison-Wesley Longman‚ Q3 2000. ©A.Cockburn 1999 Page 1 of 204 Writing Effective Use Cases Prologue There are still no trusted guides about how to write (or review) use cases‚ even though it is now nearly a decade since use cases have become the "norm" for writing functional requirements for object-oriented software systems‚ and are gaining acceptance for embedded software

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