Bøger i Operations Research Series serien

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.

Winner of 2013 IIE/Joint Publishers Book-of-the-Year Award Emphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of how companies plan, source, make, and deliver their products to create and/or maintain a global competitive advantage. It emphasizes application of operations research models and methods to optimize the various components of an integrated supply chain. The authors have carefully constructed the book so that it is not so "micro" in its focus that the perspective on the larger business problem is lost, nor is it so "macro" in its treatment of that business context that it fails to develop students'' appreciation for, and skills to solve, the tactical problems that must be addressed in effectively managing flows of goods in supply chains. Building students'' knowledge of the first principles of supply chain engineering, the book covers the traditional issues in operations, logistics, and supply chain management-forecasting demand, managing inventories, managing transportation, and locating facilities. It also includes a number of new optimization tools such as risk pooling, for addressing these problems, based on recent research. In addition, the authors'' treatment of managing customer-supplier relations supplies a fresh perspective that draws on recent research using multiple criteria optimization methods. Moreover, the chapter on managing risks in supply chains presents important problems that extend beyond the traditional treatment of supply chain management. Building a bridge between theory and practice, the authors pull all of these themes together in the culminating chapter that solidifies students'' understanding of managing global supply chains.

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.