Operations Research Series
About the Book Series
Operations Research (OR) uses mathematical models and techniques to solve complex management problems. OR provides a quantitative analysis of the problem from which the management can make an objective decision. OR has drawn upon skills from mathematics, engineering, computer science, economics, and statistics to contribute to a wide variety of applications in business, industry, government, and military. OR methodologies and applications continue to grow and flourish in a number of decision making fields. The series will address this important and emerging area (computational or applied) and provide students, practitioners, and researchers a single source guide in a specialized application or computation area of operations research. These books will be comprehensive but concise, authoritative, easy to read, and should bridge theory and practice.
If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].
Fundamentals of Stochastic Models
1st Edition
By Zhe George Zhang
December 19, 2024
Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the ...
Supply Chain Engineering: Models and Applications
2nd Edition
By A. Ravi Ravindran, Donald P. Warsing, Jr., Paul M. Griffin
August 30, 2023
This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successfully carved out. The textbook targets engineering students and emphasizes the use of operations research models and solution methods important in the ...
Probability Models in Operations Research
1st Edition
By C. Richard Cassady, Joel A. Nachlas
September 19, 2019
Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in ...
Big Data Analytics Using Multiple Criteria Decision-Making Models
1st Edition
Edited
By Ramakrishnan Ramanathan, Muthu Mathirajan, A. Ravi Ravindran
July 11, 2017
Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data ...
Operations Planning: Mixed Integer Optimization Models
1st Edition
By Joseph Geunes
March 30, 2017
A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with ...
Analysis of Queues: Methods and Applications
1st Edition
By Natarajan Gautam
March 29, 2017
Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory with recent advances in studying stochastic networks. Exploring a broad range of applications, the book contains plenty of solved problems, exercises, case ...
Multiple Criteria Decision Analysis for Industrial Engineering: Methodology and Applications
1st Edition
By Gerald W. Evans
June 28, 2016
This textbook presents methodologies and applications associated with multiple criteria decision analysis (MCDA), especially for those students with an interest in industrial engineering. With respect to methodology, the book covers (1) problem structuring methods; (2) methods for ranking ...
Introduction to Linear Optimization and Extensions with MATLAB®
1st Edition
By Roy H. Kwon
September 05, 2013
Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition...
Operations Research Calculations Handbook
2nd Edition
By Dennis Blumenfeld
December 23, 2009
A handbook in the truest sense of the word, the first edition of the Operations Research Calculations Handbook quickly became an indispensible resource. While other books available tend to give detailed information about specific topics, this one contains comprehensive information and results ...
Operations Research and Management Science Handbook
1st Edition
Edited
By A. Ravi Ravindran
December 05, 2007
Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical ...
Operations Research: A Practical Introduction
1st Edition
By Michael W. Carter, Camille C. Price
July 28, 2000
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 ...