Operations Research: A Practical Introduction, 1st Edition (Hardback) book cover

Operations Research

A Practical Introduction, 1st Edition

By Michael W. Carter, Camille C. Price

CRC Press

416 pages

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Hardback: 9780849322563
pub: 2000-07-28
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Description

Students with diverse backgrounds will face a multitude of decisions in a variety of engineering, scientific, industrial, and financial settings. They will need to know how to identify problems that the methods of operations research (OR) can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop computational tools to solve the problems.

Perfect for any one-semester course in OR, Operations Research: A Practical Introduction answers all of these needs. In addition to providing a practical introduction and guide to using OR techniques, it includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations. It provides a sound introduction to the mathematical models relevant to OR and illustrates the effective use of OR techniques with examples drawn from industrial, computing, engineering, and business applications

Many students will take only one course in the techniques of Operations Research. Operations Research: A Practical Introduction offers them the greatest benefit from that course through a broad survey of the techniques and tools available for quantitative decision making. It will also encourage other students to pursue more advanced studies and provides you a concise, well-structured, vehicle for delivering the best possible overview of the discipline.

Reviews

"The chapter on heuristics techniques is particularly welcome."

Short Book Reviews, Vol. 21, No. 2, August, 2001

Table of Contents

INTRODUCTION TO OPERATIONS RESEARCH

The Origins and Applications of Operations Research

System Modeling Principles

Algorithm Efficiency and Problem Complexity

Optimality and Practicality

Guide to Software Tools

LINEAR PROGRAMMING

The Linear Programming Model

The Art of Problem Formulation

Graphical Solution of Linear Programming Problems

Preparation for the Simplex Method

The Simplex Method

Initial Solutions for General Constraints

Information in the Tableau

Duality and Sensitivity Analysis

Revised Simplex and Computational Efficiency

Guide to Software Tools

Illustrative Applications

NETWORK ANALYSIS

Graphs and Networks: Preliminary Definitions

Maximum Flow in Networks

Minimum Cost Network Flow Problems

Network Connectivity

Shortest Path Problems

Dynamic Programming

Project Management

Guide to Software Tools

Illustrative Applications

INTEGER PROGRAMMING

Fundamental Concepts

Typical Integer Programming Problems

Zero-One Model Formulations

Branch-and-Bound

Cutting Planes and Facets

Cover Inequalities

Lagrangian Relaxation

Column Generation

Guide to Software Tools

Illustrative Applications

NONLINEAR OPTIMIZATION

Preliminary Notation and Concepts

Unconstrained Optimization

Constrained Optimization

Guide to Software Tools

Illustrative Applications

MARKOV PROCESSES

State Transitions

State Probabilities

First Passage Probabilities

Properties of the States in a Markov Process

Steady-State Analysis

Expected First Passage Times

Absorbing Chains

Guide to Software Tools

Illustrative Applications

QUEUING MODELS

Basic Elements of Queuing Systems

Arrival and Service Patterns

Analysis of Simple Queuing Systems

Guide to Software Tools

Illustrative Applications

SIMULATION

Simulation: Purposes and Applications

Discrete Simulation Models

Observations of Simulations

Guide to Software Tools

Illustrative Applications

DECISION ANALYSIS

The Decision Making Process

An Introduction to Game Theory

Decision Trees

Utility Theory

The Psychology of Decision Making

Guide to Software Tools

Illustrative Applications

HEURISTIC TECHNIQUES FOR OPTIMIZATION

Local Improvement Heuristics

Optimization by Simulated Annealing

Parallel Annealing

Genetic Algorithms

Neural Networks

Guide to Software Tools

Illustrative Applications

APPENDIX: Review of Essential Mathematics

About the Series

Operations Research Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
BUS049000
BUSINESS & ECONOMICS / Operations Research
MAT003000
MATHEMATICS / Applied
TEC029000
TECHNOLOGY & ENGINEERING / Operations Research