INTRODUCTION My topic is oil refinering using linear programming‚ this is under petrochemical industries which mean it will deal more about chemicals‚ this is about optimising the cost using a modelling method in mathematics called linear programming. This is very important because it links what is done in petrochemical industries with mathematics. Since there is a huge need of the products that are produced after petroleum refinering which are petrol‚ gasoline‚ oil‚ diesel and etc so in the
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A. Formulate a linear programming model for Julia that will help you to advise her if she should lease the booth. Let‚ X1 =No. of pizza slices‚ X2 =No. of hot dogs‚ X3 = No. of barbeque sandwiches * Objective function co-efficient: The objective is to maximize total profit. Profit is calculated for each variable by subtracting cost from the selling price. For Pizza slice‚ Cost/slice=$4.5/6=$0.75 | X1 | X2 | X3 | SP | $1.50 | $1.60 | $2.25 | -Cost | 0.75 | $0.50 | $1.00 |
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The linear probability model‚ ctd. When Y is binary‚ the linear regression model Yi = β0 + β1Xi + ui is called the linear probability model. • The predicted value is a probability: • E(Y|X=x) = Pr(Y=1|X=x) = prob. that Y = 1 given x • Yˆ = the predicted probability that Yi = 1‚ given X • β1 = change in probability that Y = 1 for a given ∆x: Pr(Y = 1 | X = x + ∆x ) − Pr(Y = 1 | X = x ) β1 = ∆x 5 Example: linear probability model‚ HMDA data Mortgage denial v. ratio of debt payments to income (P/I
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not sure of how much money he should invest in each category. He gave the guidelines that at least 10% of the total money should be invested in each of those options and the investment in any of the above category should not exceed 40% of the total investment. He also mentioned that investment in mutual funds should be at least twice the amount invested in stocks. Pina‚ on the other hand is more interested in investing in precious metals like gold and silver. She has seen that the growth in these
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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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and briefly explain your reasoning.) 1. Assume we have a simple linear regression model: . Given a random sample from the population‚ which of the following statement is true? a. OLS estimators are biased when BMI do not vary much in the sample. b. OLS estimators are biased when the sample size is small (say 20 observations). c. OLS estimators are biased when the error u captures perseverance and self‐ control‚ and you believe that people who are perseverant and have more self‐ control are less likely overweight
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Prepared & Submitted by: Assutush Rema Sector Coordinator (Livelihood Security Project) Fulbaria ADP‚ World Vision Bangladesh. Introduction: The integrated programming model (IPM) has been developed through a process of co-creation involving staff across World Vision‚ with special emphasis on local-level staff. The integrated programming model equips World Vision local-level staff to work effectively with partners toward the sustained well-being of children within families and communities especially
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Graphical and Simplex Methods of Linear Programming The graphical method is the more popular method to use because they are easy to use and understand. Working with only a few variables at a time they allow operations managers to compare projected demand to existing capacity. The graphical method is a trial and error approach that can be easily done by a manager or even a clerical staff. Since it is trial and error though‚ it does not necessarily generate the optimal plan. One downside of this
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producer of coffee in Italy. Students have to evaluate cash flow and ROE‚ and use this analysis to assess the attractiveness of the new strategy. It serves as an introduction to cash flow and ratio analysis. Includes basic discussion of these tools to help in the task of the analyst or manager. Supplementary material includes set of problems and answers. «Hide by Erich A. Helfert… See more › Posted in Harvard Case Study Analysis Solutions Note on Financial Analysis Problems Posted on by It presents
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Linear Model of Policy Process and its critics Student: Ninia Machavariani Instructor: Dr. Stephen L. Harris Variously called the linear‚ but also known as rational model‚ this model is the most widely-held in the processes where policy is made. It outlines policy-making as a problem solving process which is rational‚ balanced‚ objective and analytical. In the model‚ decisions are made in a series of sequential phases‚ starting with the identification of a problem or issue‚ and
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