The Analytic Hierarchy Process

1. Front Matter

   Pages I-VI

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2. Overview

   1. Introduction

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

      Pages 1-2

   2. The Art and Science of Decision Making: The Analytic Hierarchy Process

      • Patrick T. Harker

      Pages 3-36

   3. Applications of the Analytic Hierarchy Process: A Categorized, Annotated Bibliography

      • Bruce L. Golden, Edward A. Wasil, Doug E. Levy

      Pages 37-58

3. Recent Developments

   1. Group Decision Making and the AHP

      • Thomas L. Saaty

      Pages 59-67

   2. An Alternate Measure of Consistency

      • Bruce L. Golden, Qiwen Wang

      Pages 68-81

4. Applications and Studies

   1. Project Selection

      1. A Decision Support Approach for R&D Project Selection

         • Matthew J. Liberatore

         Pages 82-100

      2. Project Selection by an Integrated Decision Aid

         • Jukka Ruusunen, Raimo P. Hamalainen

         Pages 101-121

      3. Water Research Planning in South Africa

         • L. Paul Fatti

         Pages 122-137

   2. Applications to the Electric Utility Industry

      1. Forecasting Loads and Designing Rates for Electric Utilities

         • Earl R. MacCormac

         Pages 138-154

      2. Predicting a National Acid Rain Policy

         • Robert Lewis, Doug E. Levy

         Pages 155-170

   3. Decision Making in the Federal Government

      1. Decision Support for War Games

         • Robert J. Might, William D. Daniel Jr.

         Pages 171-181

      2. Assessment of Security at Facilities That Produce Nuclear Weapons

         • John G. Vlahakis, William R. Partridge

         Pages 182-191

   4. Diverse Real-World Models

      1. AHP in Practice: Applications and Observations from a Management Consulting Perspective

         • Kenneth H. Mitchell, Edward A. Wasil

         Pages 192-212

      2. Choosing Initial Antibiotic Therapy for Acute Pyelonephritis

         • James G. Dolan

         Pages 213-224

      3. An Analysis of Conflict in Northern Ireland

         • Joyce M. Alexander

         Pages 225-241

      4. Site Selection for a Large Scale Integrated Circuits Factory

         • Kaoru Tone, Shigeru Yanagisawa

         Pages 242-250

      5. Business Strategy Formulation for a Financial Institution in a Developing Country

         • Luis G. Vargas, J. Bernat Roura-Agusti

         Pages 251-265

5. Back Matter

   Pages 266-267

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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.

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

• Department of Management Science and Statistics College of Business and Management, University of Maryland, College Park, USA

  Bruce L. Golden

• Kogod College of Business Administration, American University, USA

  Edward A. Wasil

• The Wharton School, The University of Pennsylvania, Philadelphia, USA

  Patrick T. Harker

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