Chapter 2 An Introduction to Linear Programming 18. a. Max 4A + 1B + 0S1 + 0S2 + 0S3 s.t. 10A + 2B + 1S1 = 30 3A + 2B + 1S2 = 12 2A + 2B + 1S3 = 10 A‚ B‚ S1‚ S2‚ S3 0 b. c. S1 = 0‚ S2 = 0‚ S3 = 4/7 23. a. Let E = number of units of the EZ-Rider produced L = number of units of the Lady-Sport produced Max 2400E + 1800L s.t. 6E + 3L 2100 Engine time L 280 Lady-Sport maximum
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17th International Mining Congress and Exhibition of Turkey- IMCET 2001‚ © 2001‚ ISBN 975-395-417-4 Optimum Blending of Coal by Linear Programming for the Power Plant at Seyitömer Coal Mine K.Erarslan‚ H.Aykul‚ H.Akçakoca & N.Çetin Dumlupınar University‚ Department of Mining Engineering‚ 43100‚ Kütahya‚ Turkey ABSTRACT: In this study‚ a linear programming model is developed to determine the optimum coal blend in terms of quality and quantity. Coal with various features is mined from different
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Quantitative Methods in Business – Linear Programming 1- Statement of the Problem: Middle East for investment offers a bundle of investment options in many types of securities. Mr. Brown‚ an investor‚ would like to invest $ 5 million in various securities. He wishes to maximize his yearly profit over the next year. The investment company offered him a portfolio including Bonds‚ Stocks‚ Gold and Land. The expected return is 6% for Bonds‚ 14% for Stocks‚ 10% for Gold and 5% for Land. For diversification
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each alternatives. EMV=(payoff of first state of nature)(probability of first state of nature)+(payoff of second state of nature)(probability of second state of nature)+...+(payoff of last state of nature)(probability of last state of nature) 1 Example: A basketball team is considering the following players with the following payoff to the team for each player from profits. The team believes there is 40% chance it will make the final four‚ 30% chance it will be competitive and 30% chance it will
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Winter 2013 Master of Business Administration- MBA Semester 2 MB0048 – Operations Research - 4 Credits (Book ID: B1631) (Roll no: 1305009661) Q.1: Discuss the various stages involved in the methodology of Operations Research. Briefly explain the techniques and tools of Operations Research. Ans: The basic dominant characteristic feature of operations research is that it employs mathematical representations or models to analyse problems. This distinct approach represents an adaptation of the
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equivalent to 0.7749 Euros. A linear equation of a function‚ E‚ which converts US dollars (D) to Euros (E) would be E = 0.7749D You would just put the number of dollars in for "D" and multiply by 0.7749 and this will give you the number of Euros you would get for your US dollars. This is a "real world application" of a linear function. Cell Phones Just about everyone has a cell phone‚ and most rate plans are a linear function of some kind. Let’s take a look at a basic example that is a real-life application
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Linear Programming is a mathematical technique useful for allocation of scarce or limited resources to several competing activities on the basis of given criterion of optimality.The usefulness of linear programming as a tool for optimal decision-making on resource allocation‚ is based on its applicability to many diversified decision problems. The effective use and application requires‚ as on its applicability to many diversified decision problems. The effective use and application requires‚ as a
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OPERATIONS RESEARCH INTRODUCTION Operations Research is a unique discipline‚ one of its kinds‚ best of breeds‚ employing several highly developed and advanced analytical techniques which in turn aids in effective decision making. It is often regarded as a sub-field of mathematics. Operations research (OR) are not only deeply involved with making and taking effective decisions. It is also concerned with minimizing losses‚ optimization‚ simulations‚ forecasting and predicting within an organization
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Curve-Fitting Project – Linear Model: Average Sales Prices of new homes sold in the United States between 1964 and 2008 (LR-1) Purpose: To analyze the average sales prices of new homes sold in the United States from 1964 to 2008. Data: The prices were retrieved from http://www.census.gov/const/uspriceann.pdf. I chose to use the prices between 1964 and 2008 as they showed a huge increase (More data was available (see link)). Average sales prices of new homes sold in the US Year Time (seconds)
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A LINEAR PROGRAMMING MODEL OF INTEGRATED IRON AND STEEL PRODUCTION *t TmOR FABIAN University of California‚ Los Angeles Integrated steel mills usually have a choice over the use of various materials and production procMses. Different ores may be used in the proiduction of iron; steel scrap and iron can be used in different proportions in the production of steel. The economical usage rate of all materials is a fimction of numerous variables‚ among which the market price of some materials‚ notably
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