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      Operations Research For Beginners
      Operations Research For Beginners

      Operations Research For Beginners

      Review  (0)
      ₹595.00
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      Operations Research For Beginners 

      Author Name:- Arun S. Pandhari

      Price: 595/-

      ISBN: 978-93-5016-440-2

      One Subject One Book

      This book is written to meet the needs of students who are eager to learn as well as useful for professors who teach this subject.

       

      The book contains a systematic development of the subject. For better understanding, an explanatory diagram is given at the end of each subtopic. Comprehensive exercises follow at the end of each chapter.

       

      Operations Research is a modern scientific study using Mathematics, Statistics, Management Science, Engineering Technology, Economics, Health Science, Business Administration, Defense, Government Agencies, etc. Above all, it is the optimization of scarce resources such as people, goods and money. This topic is now included in curricula in various disciplines, including B.Tech/M.Tech, M.B.A., M.C.A, M.Sc., C.A. as well as some aspects of the NET / SET / GATE exams.

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      EU3234363840424446USXX5XSSMLXLXXLXXLArm Length6161,56262,56363,56464,5Bust Circumference8084889296101106111Waist Girth6165697377828792Hip Circumference87919599103108113118

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      Contents

      1. Linear Programming-Simplex Method     

      1. Introduction  

      2. Two Variable LP Model     

      3. Graphical LP Solution     

      4. LP Model in Equation Form 

      5. Transition from Graphical to Algebraic Solution   

      6. The Simplex Method  

      7. Artificial Starting Solution    

      8. M-Method (Use of Artificial Variables)

      9. Special Cases in Simplex Method

      2. Dual Simplex Method 

      1. Introduction  

      2. Dual Simplex Problems     

      3. Algorithm For Dual Simplex Method

      3. Integer Programming 

      1. Introduction  

      2. Integer Programming Problem(IPP)

      3. Concept of 'cutting plane'

      4. Gomory's Cutting Plane Technique

      5. Mixed IPP     

      6. Branch And Bound Method 

      4. Transportation and Assignment Problems

      1. Introduction  

      2. Definition of the Transportation Problems   

      3. General Transportation Problem  

      4. Initial Basic Feasible Solution 

      5. Optimum Solution by ‘Modi’ Method     

      6. The Transportation Algorithm    

      7. Degeneracy in Transportation Problems 

      8. The Assignment Model (Hungarian Method)     

      9. Mathematical Model for Assignment Problem   

      10.Comparison between TP and AP    

      11.Hungarian method of solving an AP     

      12.Unbalanced Assignment Problems  

      13.Assignment Problems with Restrictions

      5. Sequencing    

      1. Introduction  

      2. Sequencing Problem  

      3. Types Of Sequencing Problems    

      4. Assumptions In A Sequencing Problem   

      5. n JOBS ON 2 MACHINES

      6. n JOBS ON 3 MACHINES 285

      7. Processing N Jobs On M Machines 

      8. Processing Two Jobs On M Machines     

      9. Gantt Charts

      6. Decision Analysis and Games     

      1. Introduction  

      2. Optimal Solution of Two-Person, Zero-Sum Games    

      3. Solution of Mixed Strategy Games

      4. Graphical Method for Solving…

      5. Subgames

      6. Principle of Dominance and Solving Some Simple Games    

      7. Presentation of Game Problem by LPP

      7. Replacement Models  

      1. Introduction  

      2. Types Of Replacement

      3. Replacement of item that fail suddenly

      8. PERT and CPM  

      1. Introduction  

      2. Pert / CPM Network Components   

      3. Some Errors In Network (Arrow Diagram)

      4. Critical Path Method

      5. Float (Slack) On Activities And Event 

      6. Project Scheduling With Uncertain Activity Times  

      7. Cost Considerations In Pert

      9. Simulation

      1. Introduction  

      2. Steps In Simulation Procedure   

      3. Monte Carlo Methods Of Simulation     

      4. Examples On Simulation    

      5. Advantages And Disadvantages Of Simulation

      10. Markov Chains

      1. Introduction

      2. Properties of P (Stochastic Matrix)   

      3. Ergodic Matrices

      11. Queuing Theory     

      1.  Introduction 

      2.  Characteristics of Queue 

      3.  The Poisson Probability  

      4.  Model I: (M/M/1): (FIFO)

      5.  Model II: (M/M/1):(FIFO/N)     

      6.  Model III: (M/M/S):(FIFO/N) SYSTEM

      12. Non-linear Programming   

      1. Introduction  

      2. General Form Of Non-Linear Programming Problems   

      3. Sample Applications 

      4. Single Variable Optimization    

      5. Quadratic Programming     

      6. Separable Convex Programming

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