Description

For junior/senior-level courses in Systems Analysis or Systems Analysis and Economics as applied to civil engineering.

With a reorganization and new material, the Second Edition of this acclaimed text is designed to enhance the student's learning experience by providing exposure to modeling ideas and concepts. Network flow problems are emphasized by highlighting their study separately from the general integer programming models that are considered. With a wider range of examples and exercises that conclude many chapters, this text offers students an extremely practical, accessible study on the most modern skills available for the design, operation and evaluation of civil and environmental engineering systems.

Features

• NEW - Reorganized and updated material—Provides a smoother and more student-friendly structure.
  • Offers students a highly accessible presentation of the subject matter so they can master the material at an ambitious yet comfortable pace.
• NEW - First chapter devoted to a combination of historical development of systems analysis and the steps that a model builder must follow in structuring an optimization model.
  • Provides students with further opportunities to develop formulation skills without the necessity of employing mathematics.
• NEW - A number of end-of-chapter and text example problems.
• NEW - Verbal descriptions of settings where models can be employed in Chapter 1.
  • Challenges students to identify the needed parameters and problem objectives as well as constraints and appropriate decision variables.
• NEW - Network flows presented in its own chapter—Contains all of the major network flow concepts for ease of access.
  • Provides a more consistent flow of material so that students can absorb the subject matter more easily.
• NEW - Topics of integer programming, branch and bound, and applications of integer programming treated in their own chapter—Without the network flow models.
  • Offers the instructor flexibility with these topics while allowing independent study of the classical and widely applicable models of network flows.
• An abundance of substantive examples and problems.
  • Helps students apply the concepts they are learning so they can be equipped with a working knowledge of the material.

New to this Edition

• Reorganized and updated material—Provides a smoother and more student-friendly structure.
  • Offers students a highly accessible presentation of the subject matter so they can master the material at an ambitious yet comfortable pace.
• First chapter devoted to a combination of historical development of systems analysis and the steps that a model builder must follow in structuring an optimization model.
  • Provides students with further opportunities to develop formulation skills without the necessity of employing mathematics.
• A number of end-of-chapter and text example problems.
• Verbal descriptions of settings where models can be employed in Chapter 1.
  • Challenges students to identify the needed parameters and problem objectives as well as constraints and appropriate decision variables.
• Network flows presented in its own chapter—Contains all of the major network flow concepts for ease of access.
  • Provides a more consistent flow of material so that students can absorb the subject matter more easily.
• Topics of integer programming, branch and bound, and applications of integer programming treated in their own chapter—Without the network flow models.
  • Offers the instructor flexibility with these topics while allowing independent study of the classical and widely applicable models of network flows.

Table of Contents

 1. Explaining Systems Analysis.


 2. Models in Civil and Environmental Engineering.


 3. A Graphical Solution Procedure and Further Examples.


 4. The Simplex Algorithm for Solving Linear Programs.


 5. Linear Programs with Multiple Objectives.


 6. Linear Programming Models of Network Flow.


 7. Integer Programming and Its Applications.


 8. Scheduling Models: Critical Path Method.


 9. Decision Theory.


10. Lessons in Context: Simulation and the Statistics of Prediction.


11. Lessons in Context: A Multigoal Water Resources Problem Utilizing Multiple Techniques.


12. Lessons in Context: Transportation Systems.


13. Dynamic Programming and Nonlinear Programming.


14. Engineering Economics I: Interest and Equivalence.


15. Engineering Economics II: Choice Between Alternatives.


16. Engineering Economics III: Depreciation, Taxes, Inflation, and Personal Financial Planning.