Books in the Operations Research Series series

A guide to the use of operations research (OR) techniques in decision-making, design, analysis, and management. It examines methods and practical issues related to the development and use of computer implementations. It offers information on how to select and obtain software and describes its important characteristics.

Balancing applications with mathematical rigor, Probability Models in Operations Research provides an introduction to the use of probability to define models that have applications in industrial engineering and operations research. With a concise review of the key components of probability theory, this book offers coverage of all basic model forms, probability modeling fundamentals, random variables analysis, multiple random variables analysis, Bernoulli processes, discrete-time Markov chains, Poisson processes, renewal processes, continuous-time Markov chains, and queueing theory. The text serves as a practical reference for those who use probability to model system behaviors.

This new textbook will provide state-of-the-art models, concepts and solution methods important in the design, control, operation, and management of service systems. It will cover supply chain management, warehouse & distribution, financial engineering, revenue management in airlines, retail engineering, health systems, and financial services.

Analysis of queues is used in a variety of domains including call centers, web servers, Internet routers, manufacturing and production, telecommunications, transportation, hospitals and clinics, restaurants, and theme parks. Combining elements of classical queueing theory with some of the recent advances in studying stochastic networks, this book covers a broad range of applications. It contains numerous real-world examples and industrial applications in all chapters. The text is suitable for graduate courses as well as researchers, consultants, and analysts that work on performance modeling or use queueing models as analysis tools.

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 and Business Analytics.

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 and Business Analytics.

Analysis of queues is used in a variety of domains including call centers, web servers, Internet routers, manufacturing and production, telecommunications, transportation, hospitals and clinics, restaurants, and theme parks. Combining elements of classical queueing theory with some of the recent advances in studying stochastic networks, this book covers a broad range of applications. It contains numerous real-world examples and industrial applications in all chapters. The text is suitable for graduate courses as well as researchers, consultants, and analysts that work on performance modeling or use queueing models as analysis tools.

Offers an overview of operations research methods and applications. This book is suitable for those who use analytical techniques in decision making.

This book fills the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty. It includes two major ways of including parameter uncertainty: stochastic linear programming and robust linear optimization. Presenting basics before theory, the author offers a rigorous development of linear programming theory and methods. The text contains financial optimization case studies, an extensive bibliography, and MATLAB® exercises, with the code available on the book's CRC Press web page.

Presents the analytical results and formulas needed in the scientific applications of operations research and management. This book provides quick calculations and insight into system performance.

Balancing applications with mathematical rigour, this book introduces the use of probability to define models that have applications in industrial engineering and operations research. It is suitable for those who use probability to model system behaviour.