The Analytic Hierarchy Process

Applications and Studies

  • Bruce L. Golden
  • Edward A. Wasil
  • Patrick T. Harker

Table of contents

  1. Front Matter
    Pages I-VI
  2. Overview

    1. Bruce L. Golden, Edward A. Wasil, Patrick T. Harker
      Pages 1-2
    2. Bruce L. Golden, Edward A. Wasil, Doug E. Levy
      Pages 37-58
  3. Recent Developments

    1. Thomas L. Saaty
      Pages 59-67
    2. Bruce L. Golden, Qiwen Wang
      Pages 68-81
  4. Applications and Studies

    1. Project Selection

      1. Matthew J. Liberatore
        Pages 82-100
      2. Jukka Ruusunen, Raimo P. Hamalainen
        Pages 101-121
      3. L. Paul Fatti
        Pages 122-137
    2. Applications to the Electric Utility Industry

      1. Robert Lewis, Doug E. Levy
        Pages 155-170
    3. Decision Making in the Federal Government

      1. Robert J. Might, William D. Daniel Jr.
        Pages 171-181
      2. John G. Vlahakis, William R. Partridge
        Pages 182-191
    4. Diverse Real-World Models

  5. Back Matter
    Pages 266-267

About this book

Introduction

Management science is a di scipl ine dedicated to the development of techniques that enable decision makers to cope with the increasing complexity of our world. The early burst of excitement which was spawned by the development and successful applications of linear programming to problems in both the public and private sectors has challenged researchers to develop even more sophisticated methods to deal with the complex nature of decision making. Sophistication, however, does not always trans 1 ate into more complex mathematics. Professor Thomas L. Saaty was working for the U. S. Defense Department and for the U. S. Department of State in the late 1960s and early 1970s. In these positions, Professor Saaty was exposed to some of the most complex decisions facing the world: arms control, the Middle East problem, and the development of a transport system for a Third­ World country. While having made major contributions to numerous areas of mathematics and the theory of operations research, he soon realized that one did not need complex mathematics to come to grips with these decision problems, just the right mathematics! Thus, Professor Saaty set out to develop a mathematically-based technique for analyzing complex situations which was sophisticated in its simplicity. This technique became known as the Analytic Hierarchy Process (AHP) and has become very successful in helping decision makers to structure and analyze a wide range of problems.

Keywords

Decision theory Entscheidungstechniken Entscheidungstheorie analytical hierarchy process linear optimization operations research programming

Editors and affiliations

  • Bruce L. Golden
    • 1
  • Edward A. Wasil
    • 2
  • Patrick T. Harker
    • 3
  1. 1.Department of Management Science and Statistics College of Business and ManagementUniversity of MarylandCollege ParkUSA
  2. 2.Kogod College of Business AdministrationAmerican UniversityUSA
  3. 3.The Wharton SchoolThe University of PennsylvaniaPhiladelphiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-50244-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1989
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-50246-0
  • Online ISBN 978-3-642-50244-6
  • About this book