Mathematical Theory and Modeling ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4‚ No.1‚ 2014 www.iiste.org A comparative study of initial basic feasible solution methods for transportation problems Abdul Sattar Soomro1 Gurudeo Anand Tularam2 Ghulam Murtaa Bhayo3 dr_sattarsoomro@yahoo.co.in‚ a.tularam@griffith.edu.au‚ gmsindhi@yahoo.com 1 Professor of Mathematics‚ Institute of Mathematics and Computer Science‚ University of Sindh‚ Jamshoro‚ Sindh‚ Pakistan 2 Senior Lecturer‚ Mathematics and
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Recommending a Low-Cost Customer Service Employee Daily Assignment Schedule University of Maryland University College Executive Summary Acme De Mexico’s Manager has requested assistance in developing a minimum cost daily assignment schedule for the customer service employees in their newly built store. Specifically‚ he wants to know the minimum total cost per day‚ which is the decision variable. He also wants to know the exact amount of part time and full time employees which will determine
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Subject: Operations Research Quiz: Model Question Paper Note: Tick ( √ ) the right answers & Fill-up the blanks wherever blanks are given Roll Number: Name of the Student: 1. For analyzing a problem‚ decision-makers should normally study (a) its qualitative aspects (b) its quantitative aspects (c) both (a) and (b) (d) neither (a) nor (b) 2. A model is (a) an essence of reality (b) an approximation (c) an idealization (d) all of the above 3. A physical model is example of (a) an iconic model
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Operations Research Unit 4 Unit 4 Simplex Method Structure: 4.1 Introduction Objectives 4.2 Standard Form of LPP Fundamental theorem of LPP 4.3 Solution of LPP – Simplex Method Initial basic feasible solution of an LPP To solve an LPP in canonical form by simplex method 4.4 The Simplex Algorithm Steps 4.5 Penalty Cost Method or Big M-method 4.6 Two Phase Method 4.7 Solved Problems on Minimisation 4.8 Summary 4.9 Glossary 4.10 Terminal Questions 4.11 Answers 4.12 Case Study 4.1 Introduction
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Golding Landscaping and Plants Cynthia (Matson) Kain Daniel Webster College Nashua‚ New Hampshire 6-23-2013 THE PROBLEM To formulate a problem in linear programming‚ there are three steps in the process; decision variables‚ an objective function and constraints. Decision variables or “unknown entities” tell us what we are solving for (Balakrishnan‚ 2013). In the Golding Landscape case‚ we are solving for variables to tell us which combination of chemicals will produce the most cost effective
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INVESTMENT STRATEGY REPORT Submitted to J. D. Williams‚ Inc. By Mizar Gonzalez Industrial Engineering Department Southern Polytechnic State university 404-519-2792 February 20‚ 2008 EXECUTIVE SUMMARY This report is our recommendation for an optimal investment strategy that would allow J. D. Williams‚ Inc. to maximize the annual yield of an investment of $800‚000 in a diversified portfolio of funds. To find the investment that would result in the greatest annual yield
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Linear programming is a technique which shows practical problems as a series of mathematical equations which can be manipulated to find the optimum or best solution. Blending is a graphical approach to linear programming which deals with resource allocation subject to constraints. It is a model which assists firms in deciding the best possible utilisation of limited resources. Each resource constraint is represented as a mathematical linear equation. A linear expression is an equation which links
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Julia Food Booth Introduction Julia is planning to lease a food booth outside the Tech Stadium at Home Football games to finance her last year education with all the games go sold out. The rent for the booth per game is $ 1000. Julia will sell slices of Cheese Pizza‚ Hot Dogs and Barbecue Sandwiches which are acclaimed to be the most popular so these are the three products she has chosen to sell at the home games football stadium. The rent for oven is $ 600 for six home games‚ which
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Lecture Notes 1 MSc in Operational Research Operational Research Techniques II Lecture 6 GOAL PROGRAMMING INTRODUCTION In many important real-world decision-making situations‚ it may not be feasible‚ or desirable to reduce all the goals of an organization into b. single objective. For example‚ instead of focusing only on optimizing profits‚ the organization may simultaneously be interested in maintaining a stable work force‚ increasing its share of market and limiting price increases. Goal
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QUANTITATIVE METHODS- II Module I (6 Hours) Introduction to Operations Research. Definition‚ scope of Operations Research‚ characteristics‚ advantages and limitations. Quantitative approach to decision making‚ models & modeling in Operations Research. Module II (8 Hours) Linear programming‚ Structure of linear program model‚ Assumption‚ Advantages‚ Limitations‚ General mathematical model‚ Guidelines for formulation of linear programming model‚ Graphical method‚ algorithm (Only illustrative
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