Data, Decisions, and Dynamics: The 15 Best Operations Research Books
Each of these books can accompany you on your operations research journey, unraveling complex algorithms, models, and strategies in an accessible manner. I've turned to several over the last decade of my career in operational leadership.
I invite you to explore these carefully selected reads for an enlightening and strategically advantageous foray into operations. You'll come out the other side wiser, and, hopefully, master of the art and science of decision-making.
15 Best Books on Operations Research
Unearth crucial analytical strategies with this expertly curated list of operations research books, all available on Amazon.
- ISE Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman
- Operations Research: An Introduction by Taha
- Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman
- Methods of Operations Research by Philip M. Morse and George E. Kimball
- Game Theory: An Introduction by Steven Tadelis
- Linear Programming: Foundations and Extensions by Robert J Vanderbei
- Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics by Cliff Ragsdale
- Operations Research (Advances in Applied Mathematics) by Michael W. Carter, Camille C. Price, and Ghaith Rabadi
- Business Analytics: Data Analysis and Decision Making with MindTap by S. Christian Albright and Wayne L. Winston
- Analytics in a Big Data World: The Essential Guide to Data Science and its Applications by Bart Baesens
- Practical Time Series Forecasting with R: A Hands-On Guide by Galit Shmueli and Kenneth C. Lichtendahl Jr
- An Introduction to Management Science: Quantitative Approaches to Decision Making by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran
- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (2013) by Ralph Kimball and Margy Ross
- Operations Research: Introduction To Models And Methods by Richard Johannes Boucherie, Henk Tijms, and Aleida Braaksma
- Manager's Guide to Operations Management by John Kamauff
Overviews Of the 15 Best Books on Operations Research
1. ISE Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman
Summary:
This book, renowned in the academic field, provides a comprehensive, in-depth analysis of operations research, focusing on theory, like sequencing and queuing theory and their application to real-world problems, and enhancing decision-making in organizational contexts.
What You'll Learn:
Gain foundational knowledge on operations research including methodological insights and their applications in solving practical issues in various domains.
Why You Should Read It:
To gain a robust theoretical foundation and practical knowledge in operations research, aiding strategic and effective decision-making in organizational problems.
Quote From The Book:
“Operations research is characterized as the scientific approach to decision making.”
About The Author:
Late Frederick S. Hillier was a revered academician and author. Gerald J. Lieberman, also deceased, was a noted author and scholar.
2. Operations Research: An Introduction by Taha
Summary:
"Operations Research: An Introduction" serves as an entryway into the practical world of operations research, enabling readers to navigate through its intricacies and applications, with a structure that is conducive to learning for beginners and intermediate students.
What You'll Learn:
Grasp the fundamental theories and methods of operations research and understand how they can be applied in various operational contexts.
Why You Should Read It:
To provide yourself a structured and student-friendly introduction to operations research, enriching your skills and knowledge in operational problem-solving.
Quote From The Book:
“Operations research is an art and science that seeks to improve decision-making. It strives for optimal solutions to management problems.”
About The Author:
Hamdy A. Taha was a recognized professor and author in the field of Engineering and operations research. You might refer to his professional and academic records for more insights into his contributions to the field.
3. Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman
Summary:
"Introduction to Operations Research" maintains a balanced comprehensive exposition of the essential topics in operations research. Through the lens of practicality and thorough analytical examination, it explores the strategies to make optimal decisions in a myriad of operational contexts.
What You'll Learn:
Explore the nuanced world of operations research, encapsulating different theories, like duality, methodologies, and their applications to improve decision-making in complex operational problems.
Why You Should Read It:
To delve into a thorough exploration of operations research, which methodically blends theoretical foundations with myriad applications across diverse organizational problems.
Quote From The Book:
“The hallmark of operations research is its ability to construct mathematical models that capture the essential elements of the decision problem at hand.”
About The Author:
Late Frederick S. Hillier and Gerald J. Lieberman were influential figures in academic and applied operations research. Their impactful works are accessible via academic and professional archives.
4. Methods of Operations Research by Philip M. Morse and George E. Kimball
Summary:
"Methods of Operations Research" unfolds the methodologies within operations research in a meticulous manner, placing an emphasis on mathematical and probabilistic models and techniques. It serves as a guide through methodological approaches, providing a pathway to apply these techniques across various operational dimensions.
What You'll Learn:
Immerse yourself in methodologies underpinning operations research, exploring mathematical and optimization models, simplex methods, techniques, and their practical applications.
Why You Should Read It:
To gain insightful expertise in various methods within operations research, comprehending their application in practical scenarios and augmenting problem-solving capabilities.
Quote From The Book:
“This book, and operations research itself, is based upon the principle that operations can be researched, can be brought under observation in such a manner that they can be studied, understood, and improved.”
About The Author:
Both late Philip M. Morse and George E. Kimball were pivotal figures in operations research, contributing significantly to its methodologies and applications during their respective careers. Their legacy continues through their written works and influence in the field.
5. Game Theory: An Introduction by Steven Tadelis
Summary:
"Game Theory: An Introduction" stands out as an accessible yet rigorous guide to game theory. It combines a careful handling of the technical aspects with clear and straightforward prose to make the foundational aspects of this discipline approachable.
What You'll Learn:
Acquire foundational and advanced knowledge in game theory, understanding its principles, applications, and implications across various strategic decision-making contexts.
Why You Should Read It:
For its capability to provide clarity on complex game theory concepts, making it digestible and applicable for readers across various levels of expertise and application.
Quote From The Book:
“Game theory is the study of how people behave in strategic situations.”
About The Author:
Steven Tadelis is a well-regarded academic and author in economics, specifically in game theory, and is currently a professor at the University of California, Berkeley. Learn more about him through his university profile and connect on LinkedIn.
6. Linear Programming: Foundations and Extensions by Robert J Vanderbei
Summary:
This book systematically introduces readers to linear and mathematical programming, delving into its foundational theory and subsequently extending into various applications and advancements. The accessible yet profound case studies guide readers through mathematical principles and practical use cases, enlightening the pathway to optimized decision-making.
What You'll Learn:
Understand the essentials and advanced concepts of linear optimization, integer programming, dynamic programming, and nonlinear programming, exploring mathematical foundations, algorithms, and real-world applications.
Why You Should Read It:
For a thorough comprehension of linear programming from a foundational level to practical applications, enhancing analytical and decision-making skills.
Quote From The Book:
“Linear programming is a collection of tools used together for finding the best solution to problems that can be described in terms of linear inequalities and equations.”
About The Author:
Robert J Vanderbei is a professor at Princeton University and a prominent author in operational research and computational mathematics. Find more about him through his Princeton profile.
7. Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics by Cliff Ragsdale
Summary:
The book seamlessly integrates spreadsheet modeling into the world of decision analysis, business analytics, and operations management. It simplifies complex concepts and provides practical insights, delivering actionable knowledge to utilize spreadsheet models for informed decision-making.
What You'll Learn:
Explore the intricate world of spreadsheet model building and its application in decision analysis and business analytics.
Why You Should Read It:
To practically apply spreadsheet modeling in making informed, analytical decisions in diverse business and operational scenarios.
Quote From The Book:
“By incorporating spreadsheet models into your decision-making processes, you can add substantial rigor to your analyses of decision problems.”
About The Author:
Cliff Ragsdale is a proficient academician, specializing in analytics and spreadsheet modeling. He is known for making analytics and operations management accessible to students and professionals alike. Connect with him on LinkedIn.
8. Operations Research (Advances in Applied Mathematics) by Michael W. Carter, Camille C. Price, and Ghaith Rabadi
Summary:
Navigating through the realm of operations research with a specific lens on advances in applied mathematics, this book blends theoretical depth with practical applications. Readers are taken through a journey from fundamental concepts to mathematical applications in various operational research scenarios.
What You'll Learn:
Dive into operations research with a focus on mathematical applications and understand its implementation in the optimization of operational processes and decision-making.
Why You Should Read It:
For acquiring a balanced view of theory and practicality in operations research with a mathematical lens, enhancing your analytical and application skills.
Quote From The Book:
“An understanding of the fundamentals of operations research and related mathematical methods provides a solid foundation upon which to build a repertoire of skills necessary to approach, model, analyze, and solve a wide range of problems.”
About The Author:
Michael W. Carter is recognized for his work in health systems and operations research and holds a position at the University of Toronto. Camille C. Price and Ghaith Rabadi are also noted contributors to the field, with their respective works being accessible through academic channels.
9. Business Analytics: Data Analysis and Decision Making with MindTap by S. Christian Albright and Wayne L. Winston
Summary:
"Business Analytics" encompasses a comprehensive exploration of data analysis and decision-making through various analytical models, emphasizing practical applications and leveraging the MindTap learning platform. It elucidates the symbiotic relationship between data, analytics, and decision-making in a business context.
What You'll Learn:
Get insights into proficient data analysis, decision-making techniques, and their consequential impact on business performance, intertwined with interactive learning through MindTap.
Why You Should Read It:
It’s a blend of profound theoretical insights and practical applications in data analysis, directly correlating analytical strategies with effective business decision-making.
Quote From The Book:
“Effective use of data and information is fast becoming the basis of competitive advantage for organizations.”
About The Author:
S. Christian Albright and Wayne L. Winston are both esteemed educators and authors in the realm of analytics and decision sciences.
10. Analytics in a Big Data World: The Essential Guide to Data Science and its Applications by Bart Baesens
Summary:
Bart Baesens delivers a profound exploration into the realm of analytics within the encompassing world of Big Data, curating an essential guide that bridges theoretical knowledge and practical applications in data science across various sectors.
What You'll Learn:
Understand the foundational to advanced concepts of analytics and data science, with pertinent applications in the domain of Big Data.
Why You Should Read It:
For an insightful journey from fundamental theories to applied data science in a Big Data context, ensuring your analytical skills are relevant and applicable in the current data-driven landscape.
Quote From The Book:
“Becoming a data scientist requires a solid grounding in terms of the domain knowledge, which allows you to recognize the problems that need to be solved.”
About The Author:
Bart Baesens is a recognized professor, researcher, and author with specialization in Big Data & Analytics. Learn more about him and his works through his academic profile and connect via LinkedIn.
11. Practical Time Series Forecasting with R: A Hands-On Guide by Galit Shmueli and Kenneth C. Lichtendahl Jr
Summary:
This book stands out as a hands-on guide that thoroughly explores time series forecasting through the application of R programming. It simplifies complex concepts, providing readers with practical knowledge and skills to effectively utilize time series forecasting in various scenarios.
What You'll Learn:
Acquire practical skills in time series forecasting through the utilization of R, along with a comprehensive understanding of applicable theories.
Why You Should Read It:
To master the application of time series forecasting using R, intertwining theory and practice, and amplifying your data analysis capabilities in real-world scenarios.
Quote From The Book:
“Good forecasting is a result of good modeling practices, careful validation, and honest model evaluation.”
About The Author:
Galit Shmueli is a distinguished professor and author, specializing in statistics and data analytics, and you can explore more about her through her personal website and connect on LinkedIn. Kenneth C. Lichtendahl Jr is known for his contributions to decision sciences.
12. An Introduction to Management Science: Quantitative Approaches to Decision Making by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran
Summary:
"An Introduction to Management Science" is a pivotal work that navigates through the intricate world of quantitative approaches and their applicability in strategic decision-making within management science, providing readers with deep insights and practical methodologies.
What You'll Learn:
Navigate through diverse quantitative approaches, developing a structured understanding and applicability in decision-making within the realm of management science.
Why You Should Read It:
For acquiring a foundational to advanced understanding of implementing quantitative strategies in decision-making and harnessing optimized managerial outcomes.
Quote From The Book:
“Quantitative techniques provide the means to develop a structured approach to decision making.”
About The Author:
The authors collectively bring a wealth of knowledge from academia and professional realms, contributing significantly to the field of management science and operations research. Information and other works by these authors can be explored through university publications and various academic platforms.
13. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (2013) by Ralph Kimball and Margy Ross
Summary:
Kimball and Ross take readers on an intricate journey through the universe of dimensional modeling, providing a definitive guide to data warehousing with a strong focus on theoretical concepts and their practical applications.
What You'll Learn:
Delve deep into dimensional modeling and explore the systematic world of data warehousing, understanding their conception, utilization, and implementation in various analytical scenarios.
Why You Should Read It:
To engage with data warehousing and dimensional modeling with thorough insights, ensuring you can apply theoretical knowledge practically in data management and analytics.
Quote From The Book:
“A dimensional model is resilient when the business’s inevitable changes can be addressed easily and quickly.”
About The Author:
Ralph Kimball is renowned in the data warehousing domain, and Margy Ross has co-authored numerous books with him, offering profound insights into data management and modeling.
More Articles
14. Operations Research: Introduction To Models And Methods by Richard Johannes Boucherie, Henk Tijms, and Aleida Braaksma
Summary:
"Operations Research: Introduction To Models And Methods" seamlessly blends the theoretical frameworks with practical models and methods within operations research, serving as a comprehensive guide for readers to develop, analyze, and apply various OR models.
What You'll Learn:
Absorb the theoretical and practical perspectives of models and methods in operations research, from development to application.
Why You Should Read It:
To amalgamate theory and practice in developing, analyzing, and applying operational research models, enhancing decision-making and problem-solving within organizational contexts.
Quote From The Book:
“A model is a simplified representation of a system at some particular point in time or space intended to promote understanding of the real system.”
About The Author:
The authors, Boucherie, Tijms, and Braaksma, are prolific in the field of Operations Research and have contributed significantly to academia and research. Information about them and their works is predominantly available through academic profiles and research publications.
15. Manager's Guide to Operations Management by John Kamauff
Summary:
In "Manager's Guide to Operations Management", Kamauff provides managers with a thorough guide to navigating through the multifaceted aspects of operations management, imbuing them with strategies, tips, and knowledge to enhance operational effectiveness.
What You'll Learn:
Understand the strategic and tactical aspects of operations management, empowering managers to enhance operational efficiencies and drive organizational success.
Why You Should Read It:
To empower your managerial skills with effective strategies, tips, and practical knowledge, ensuring operational aspects are managed and optimized proficiently.
Quote From The Book:
“Operations management is all about transforming inputs into outputs.”
About The Author:
John Kamauff is a known figure in operations management, providing pragmatic insights and strategies for managers through his books. Connect with him on LinkedIn.
Which Books on Operations Research Do You Recommend?
Your insights into the world of operations research books enrich this collection. If you've encountered a transformative title that's not in this selection, please share. Your recommendations illuminate new perspectives and foster this community of avid readers. Let's delve deeper into the vast ocean of knowledge together, exploring and unraveling the mysteries of effective operations research.