Julia’s Food Booth. Parts A thru C. Please provide linear programming model‚ graphical solution‚ sensitivity report‚ and answers to questions A thru C. (Problem on page 2) [pic] [pic] A) Formulate and solve a linear programming model for Julia that will help you advise her if she should lease the booth. Let‚ X1 =No of pizza slices‚ X2 =No of hot dogs‚ X3 = barbeque sandwiches Formulation: 1. Calculating Objective function co-efficients:
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Linear Programming Application Transportation Problem The Navy has 9‚000 pounds of material in Albany‚ Georgia that it wishes to ship to three installations: San Diego‚ Norfolk‚ and Pensacola. They require 4‚000‚ 2‚500‚ and 2‚500 pounds‚ respectively. Government regulations require equal distribution of shipping among the three carriers. The shipping costs per pound for truck‚ railroad‚ and airplane transit are shown below. Formulate and solve a linear program to determine the shipping
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The Unit Commitment Problem There exist several approaches to solve the common unit commitment problem. A very common solution is through dynamic programming as discussed in “Power Generation‚ Operation and Control” by Allen J. Wood and Bruce F. Wollenberg (Wood/Wollenberg). A more suitable and effective solution exist through Genetic Algorithm as discussed in the article “Unit Commitment Solution Methodology Using Genetic Algorithm” by K. S. Swarup and S. Yamashiro (Swarup/Yamashiro). Both methods
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B.Sc IInd Year (III - semester) MATHEMATICS FOR SESSION (2013 - 2014 only) Paper-I: Advanced Calculus Maximum Marks: 50 University Exam: 40 Minimum Pass Mark : 35 % Internal Assessment: 10 Time allowed: 3 Hrs. Lectures to be delivered: 5 periods (of 45 minutes duration) per week Instructions for paper-setters The question paper will consist of three sections A‚ B and C. Each of sections A and B will have four questions from the respective sections of
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Operational research is an interdisciplinary idea that uses thinking and also methods such as mathematical modeling‚ statistics and algorithms to arrive at optimal or near optimal solutions to complex problems in an organization. In an operational research project there are 5 phases‚ namely‚ problem identification‚ formulating problem‚ deriving solution validating model and lastly‚ the implementation of results. The first phase is to identify the problem through the observation of its symptoms
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|BUAD – 555 Decision Science |October 3rd. | | |2012 | |Mini Exam # 2 | | |Students’ Version
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Current Location MAT540084GA063-1118-001 Week 8 Review Test Submission: Quiz #4 Menu Management Options Expand All Collapse All MAT540084GA063-1118-001 Course Home Student Center Email Gradebook Assignment Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Review Test Submission: Quiz #4 Content User | Tammi Alise Banks | Course | Quantitative Methods | Test | Quiz #4 | Started | 11/29/11 10:05 PM | Submitted | 11/29/11 11:04 PM | Status
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Distribution and Network Models Transportation Problem • Network Representation • General LP Formulation Transshipment Problem • Network Representation • General LP Formulation Shortest route method • Network Representation • General LP Formulation © 2008 Thomson South-Western. All Rights Reserved Slide 1 Transportation‚ Assignment‚ and Transshipment Problems A network model is one which can be represented by a set of nodes‚ a set of arcs‚ and functions
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I. Decision Trees Bee’s Nest Inter Prize is a company that manufactures adhesives that are used in tapes and glues. Currently‚ they are thinking of a business proposition of opening another branch in the province in order to increase their market and gain more sales. Currently‚ their revenue is backed up with a good market demand giving them approximately P10‚000 income with high demand and they will incur a loss of P500 on times when demand is low due to the fixed costs of the company. Probability
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RESULTS Aphid survival experiment Aphid survival rate varied with both of different combinations of predators-aphids and various times in presence or absence of ants (Table 2). GLM results showed that the interaction of ‘time × different combinations of predators and aphids × ant’ (F = 0.211; df = 10‚ 317; P = 0.995)‚ ‘ant × time’ (F = 0.490; df = 2‚ 317; P = 0.613) and ‘different combinations of predators and aphids × time’ (F = 1.639; df = 10‚ 317; P = 0.095) on the survival rate were not significant
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