Operations Research

Operations Research

by Taha, Hamdy A.

Type Book
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For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics. Operations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of oper…

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Title Statements

  • Full title :Operations Research.

Summary

For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics. Operations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making. With.

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Edition Statements

  • Publication Date:2017.
  • Edition:10th ed

Publication Statements

Notes

5.4.2 Simplex Explanation of the Hungarian Method.

The Physical Object

  • Description:1 online resource (849 pages)

Edition Identifiers

  • ISBN:9781292165561, 1292165561
  • oclc:on1043651811
  • LC Classification:T57.6
  • Dewey Decimal:658.4034

Table of Contents

Cover; Title Page; Copyright Page; Contents; What's New in the Tenth Edition; Acknowledgments; About the Author; Trademarks; Chapter 1 What is Operations Research?; 1.1 Introduction; 1.2 Operations Research Models; 1.3 Solving the OR Model; 1.4 Queuing and Simulation Models; 1.5 Art of Modeling; 1.6 More than Just Mathematics; 1.7 Phases of an OR Study; 1.8 About this Book; Bibliography; Problems; Chapter 2 Modeling with Linear Programming; 2.1 Two-Variable LP Model; 2.2 Graphical LP Solution; 2.2.1 Solution of a Maximization Model; 2.2.2 Solution of a Minimization Model.

2.3 Computer Solution with Solver and AMPL2.3.1 LP Solution with Excel Solver; 2.3.2 LP Solution with AMPL; 2.4 Linear Programming Applications; 2.4.1 Investment; 2.4.2 Production Planning and Inventory Control; 2.4.3 Workforce Planning; 2.4.4 Urban Development Planning; 2.4.5 Blending and Refining; 2.4.6 Additional LP Applications; Bibliography; Problems; Chapter 3 The Simplex Method and Sensitivity Analysis; 3.1 LP Model in Equation Form; 3.2 Transition from Graphical to Algebraic Solution; 3.3 The Simplex Method; 3.3.1 Iterative Nature of the Simplex Method.

3.3.2 Computational Details of the Simplex Algorit…

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