Applied Operational Research with SAS

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ISBN 9781439841303
Cat# K11920



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  • Presents the principles behind PROC OPTMODEL and other SAS procedures
  • Covers the algorithms and, including assembly line balancing, traveling salesman, critical path analysis, and logistics distribution
  • Illustrates the transformation of the minimax-type formu methods for linear programming, integer linear programming, and goal programming models
  • Provides practical examples of OR problemslation into a minimization-type formulation
  • Demonstrates the use of SAS in multiple criteria decision making and performance measurement, including analytical hierarchy process and data envelopment analysis


Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making.

The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing.

While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.

Table of Contents

Operational Research, Algorithms, and Methods
Linear Programming
Integer Linear Programming
Goal Programming
SAS for Operational Research including PROC OPTMODEL

Transportation Models
Transportation Problem
Assignment Problem
Transshipment Problem

Network Models
Minimum-Cost Capacitated Flow Problem
Maximum Flow Problem
Shortest Path Problem

Project Scheduling
Critical Path Analysis
Program Evaluation and Review Technique (PERT)

Layout Decision
Assembly Line-Balancing Problem

Traveling Salesman Problem
Traveling Salesman Problem (TSP)

Printed Circuit Board Production Planning
Printed Circuit Board (PCB) Assembly Line Assignment Problem
PCB Component Allocation Problem
PCB Component-Sequencing Problem for PAP Machines

Multiple-Criteria Decision Making
Multiple-Criteria Logistics Distribution Problem: Analytic Hierarchy Process
Multiple-Criteria Logistics Distribution Problem: Logistics Distribution Network

Decision Making and Efficiency Measurement
Multiple-Criteria Preference Ranking: Ordered Weighted Averaging (OWA)
Efficiency Measurement: Data Envelopment Analysis (DEA)
Productivity Measurement: Nonparametric Malmquist Index




Author Bio(s)

Editorial Reviews

"… the authors do a good job of explaining how to apply SAS to a wide variety of problems in operations research and operations management, and the publisher makes copies of SAS code from the book available to purchasers of the book. For the reader who has a sufficient background in operations research, is comfortable with SAS macros, and is interested in learning, this book will provide a welcome and useful resource."
The American Statistician, August 2014

"This book successfully bridges the gap between theory and practice. Written primarily for SAS, the authors present a wide range of optimisation problems to demonstrate how the SAS/OR® procedures work. The text is well written, easy to follow, and will appeal both to those who have an interest only in concepts and to those merely interested in solving practical problems."
—Carl M. O’Brien, International Statistical Review (2013), 81

Downloads / Updates

Resource OS Platform Updated Description Instructions
Platform type January 20, 2012 Link for codes and datasets click on