Engineering

This product accompanies:
Taha,  Operations Research: An Introduction, 8/E

• NEW - Streamlined narrative—Eliminates ambiguity and redundancy in coverage.

  • Presents the material in a more concise manner, making it easier for students to follow.

• NEW - New coverage—Includes a new introduction to operations research (Ch. 1), the generalized simplex method (Ch. 4), representation of all network models, including CPM, as linear programs (Ch. 6), PERT networks (Ch. 6), solution of the traveling salesperson problem (Ch. 9), and the golden section search method (Ch. 21).

  • Presents additional technique that enhances the students' ability to understand the relationships among various OR techniques.

• NEW - Most algorithms supported and explained by appropriate software tools.

  • Greatly facilitates the process of explaining concepts that otherwise would be difficult, if not impossible, to demonstrate.

• NEW - The powerful Windows®-based TORA software—An easy-to-use, menu-driven optimization system. Features a new and unique tutorial and automated features—ranging from animated graphical LP solution to dynamic construction of CPM time charts and generation of branch-and-bound search trees. Offers modules for matrix inversion, solution of simultaneous linear equations, linear programming, transportation models, network models, integer programming, queueing models, project planning with CPM and PERT, and game theory. TORA can be executed in automated or tutorial mode. The automated mode reports the final solution of the problem, usually in the standard format followed in commercial packages.

  • Offers self-paced learning of all the computational algorithms in a manner that allows students to check their understanding of the material with immediate detailed feedback from the software. Enables instructors to demonstrate ideas that otherwise are literally impossible to present.

• NEW - Over 20 general and ready-to-use Excel® spreadsheet templates—Designed to solve general problems in linear programming, dynamic programming, inventory problems, the analytic hierarchy process, histogramming of raw data, forecasting, decision theory, Poisson queues, simulation, and nonlinear models—all by simply changing the input data in the templates.

  • Enables students to experiment with, test, and compare different sets of input data in a convenient manner. Offers general solutions to some difficult problems for which currently no general software is available (particularly in the area of dynamic programming).

• NEW - Excel® Solver.

  • Enables students to solve transportation, network, and linear and nonlinear programming problems.

• NEW - Examples of AMPL® and LINGO® commercial packages.

  • Familiarizes students with how very large real-life mathematical programming models are solved in practice, preparing them for the transition from the textbook to the real world.

• NEW - Complete solutions to selected chapter problems.

  • Provides the student with example solutions of usually difficult problem, giving them new ideas that could be used in the solution of other problems.

• Carefully designed numerical examples—Every single mathematical concept is explained using carefully designed numerical examples, rather than using complex mathematical proofs. Mathematical coverage starts easy and gradually increases in difficulty. Each numeric example is followed by a set of in-text problems.

  • Meets the needs of both beginning and advanced students. Makes it possible for instructors to present advanced topics at the undergraduate level, and can be used as a stepping stone toward presenting the material with sophisticated mathematics at the graduate level.

• Chapter-end open-ended Comprehensive Problems —Based on published case studies. Problems provide balanced coverage of the formulation, computation, and theory of OR. All cases are analyzed fully in the Solutions Manual, and complete solutions to selected problems are given in the text.

  • Bridges the gap between theory and practice and helps students make the transition from the text to the real world easier.

• Accompanying CD-ROM—Includes the TORA® Optimization system, the ready-to-use Excel® templates, files of all the examples in the book for direct use with TORA®, Excel®, LINGO®, and AMPL®.

  • Provides a self-contained package of all necessary support materials.

• Streamlined narrative—Eliminates ambiguity and redundancy in coverage.

  • Presents the material in a more concise manner, making it easier for students to follow.

• New coverage—Includes a new introduction to operations research (Ch. 1), the generalized simplex method (Ch. 4), representation of all network models, including CPM, as linear programs (Ch. 6), PERT networks (Ch. 6), solution of the traveling salesperson problem (Ch. 9), and the golden section search method (Ch. 21).

  • Presents additional technique that enhances the students' ability to understand the relationships among various OR techniques.

• Most algorithms supported and explained by appropriate software tools.

  • Greatly facilitates the process of explaining concepts that otherwise would be difficult, if not impossible, to demonstrate.

• The powerful Windows®-based TORA software—An easy-to-use, menu-driven optimization system. Features a new and unique tutorial and automated features—ranging from animated graphical LP solution to dynamic construction of CPM time charts and generation of branch-and-bound search trees. Offers modules for matrix inversion, solution of simultaneous linear equations, linear programming, transportation models, network models, integer programming, queueing models, project planning with CPM and PERT, and game theory. TORA can be executed in automated or tutorial mode. The automated mode reports the final solution of the problem, usually in the standard format followed in commercial packages.

  • Offers self-paced learning of all the computational algorithms in a manner that allows students to check their understanding of the material with immediate detailed feedback from the software. Enables instructors to demonstrate ideas that otherwise are literally impossible to present.

• Over 20 general and ready-to-use Excel® spreadsheet templates—Designed to solve general problems in linear programming, dynamic programming, inventory problems, the analytic hierarchy process, histogramming of raw data, forecasting, decision theory, Poisson queues, simulation, and nonlinear models—all by simply changing the input data in the templates.

  • Enables students to experiment with, test, and compare different sets of input data in a convenient manner. Offers general solutions to some difficult problems for which currently no general software is available (particularly in the area of dynamic programming).

• Excel® Solver.

  • Enables students to solve transportation, network, and linear and nonlinear programming problems.

• Examples of AMPL® and LINGO® commercial packages.

  • Familiarizes students with how very large real-life mathematical programming models are solved in practice, preparing them for the transition from the textbook to the real world.

• Complete solutions to selected chapter problems.

  • Provides the student with example solutions of usually difficult problem, giving them new ideas that could be used in the solution of other problems.

 1. What Is Operations Research?


 2. Introduction To Linear Programming.


 3. The Simplex Method.


 4. Duality and Sensitivity Analysis.


 5. Transportation Model and its Variants.


 6. Network Models.


 7. Advanced Linear Programming.


 8. Goal Programming.


 9. Integer Linear Programming.


10. Deterministic Dynamic Programming.


11. Deterministic Inventory Models.


12. Review of Basic Probability.


13. Forecasting Models.


14. Decision Analysis and Games.


15. Probabilistic Dynamic Programming.


16. Probabilistic Inventory Models.


17. Queueing Systems.


18. Simulation Modeling.


19. Markovian Decision Process.


20. Classical Optimization Theory.


21. Nonlinear Programming Algorithms.


Appendix A. Review of Vectors and Matrices.


Appendix B. TORA Primer.


Appendix C. Statistical Tables.


Appendix D. Partial Solution to Selected Problems.


Index.

Production and Operations Management  [OTHER TITLES OF INTEREST]   (Industrial Engineering)
Operations Research  [CORE TEXTS]   (Industrial Engineering)
Operations Research  (Decision Science)

• 
  Operations Research: An Introduction, 8/E
  Taha
  ©2007 | Prentice Hall | Cloth; 840 pp | Instock
  ISBN-10: 0131889230 | ISBN-13: 9780131889231
  Suggested retail price: $164.00  Buy from myPearsonStoreNet price: $123.00  (What's this?)Brief Description

  

  For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.

   

   

  Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts.  A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts.  New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.

   

Hamdy A. Taha is a University Professor of Industrial Engineering with the University of Arkansas, where he teaches and conducts research in operations research and simulation. He is the author of three other books on integer programming and simulation, and his works have been translated into Chinese, Korean, Spanish, Japanese, Russian, Turkish, and Indonesian. He is also the author of several book chapters. His articles have appeared in Management Science, Operations Research, and Interfaces Institute for Operations Research and Management Science, Naval Research Logistics John Wiley & Sons, the European Journal of Operations Research International Federation of Operations Research Societies and the AIIE Transactions.

Professor Taha was named a Senior Fulbright Scholar to Carlos III University, Madrid, Spain. He received an Alumni Award for excellence in research and The Nadine Baum Faculty Teaching Award, both from the University of Arkansas, and numerous other research and teaching awards from the College of Engineering, University of Arkansas. He is fluent in three languages and has held positions in Mexico and the Middle East.

This seventh edition continues to build on the strength of the first six editions, providing balanced coverage of the theory, applications, and computations of operations research. Complex mathematical concepts are effectively explained by means of carefully designed numerical examples, essentially eliminating the need for the usually obscure formal mathematical proofs. The book includes fully analyzed practical situations and each chapter concludes with summary applications borrowed from published case studies. The role of modern computational tools in enhancing the effectiveness of operations research as a decision-making tool receives considerable attention in this new edition.

New for the Seventh Edition:

• Practically every algorithm in the book is now supported and explained by an appropriate software tool, greatly facilitating the process of explaining concepts that otherwise would be difficult, if not impossible, to demonstrate.
• The powerful Windows®-based TORA software offers new and unique tutorial features, ranging from animated graphical LP solution to dynamic construction of CPM time charts and generation of branch-and-bound search trees.
• For the first time, Excel® templates are designed to solve general problems in dynamic programming, inventory problems, and the analytic hierarchy approach, simply by changing the input data in the template.
• Excel® Solver is used to solve transportation, network, and linear and nonlinear programming problems.
• Commercial AMPL® and LINGO® packages are used to show how very large linear and integer programs are solved in practice.
• Chapters 1 through 14, 17, and 18 have been streamlined to eliminate ambiguity and redundancy in the presentation of the material.
• New material includes a new introduction to operations research, the generalized simplex method, representation of all network models, including CPM, as linear programs, PERT networks,solution of the traveling salesperson problem, and the golden section method.
• Numerous new problems have been added in many chapters.
• Appendix D provides complete solutions to selected chapter problems.

Software Support:

• Easy-to-use menu-driven TORA optimization system.
• Over 20 general and ready-to-use Excel® spreadsheet templates.
• Several Excel® Solver templates.
• Example applications of the commercial packages AMPL® and LINGO®.

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.