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OR/MS Today - February 2004 New Books The Basic George B. Dantzig Edited by Richard W. Cottle George B. Dantzig, widely known as the father of linear programming, has been a major influence in mathematics, operations research and economics. Now professor emeritus at Stanford University, he continues his decades of research on linear programming and related subjects. Dantzig has been awarded eight honorary doctorates, the National Medal of Science and the John von Neumann Theory prize, from INFORMS. The 24 chapters of this volume highlight the amazing breadth and enduring influence of Dantzig's research. Short, non-technical summaries at the opening of each part of the book introduce a specific research area and discuss the current significance of Dantzig's work in that field. Among the topics covered are mathematical statistics, the Simplex Method of linear programming, economic modeling, network optimization and nonlinear programming. The book also includes a complete bibliography of Dantzig's writings. Published by Stanford University Press Distributed Decision Making, Second Edition By Christoph Schneeweiss Distributed decision making has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations or managerial accounting, DDM has led to a paradigm shift. This book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations and contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems. Published by Springer-Verlag Handbook of Human Systems Integration Edited by Harold R Booher Human systems integration (HIS) is rapidly emerging as a new discipline designed to migrate business and engineering cultures toward a more people-technology orientation. Over the past decade, the United States and foreign governments have developed a wide range of tools, techniques and technologies aimed at integrating human factors into engineering systems in order to utilize the significant cost and performance benefits. In order for this new discipline to be effective, a cultural shift must be initiated among organizational leaders. Handbook of Human Systems Integration offers the principles and methods that can be employed to integrate people, technology and organization with a common objective toward designing, developing and operating systems effectively and efficiently. Addressing both the public and commercial process as they interface with systems engineering processes, this guide emphasizes the importance of management and organization concepts, as well as the technical uniqueness of HIS. Incorporating contributions from more than 90 technical advisors and reviewers from government, industry and academia, the book also includes information provided by the Department of Defense, the Federal Aviation Administration and the National Academy of Sciences. The book will be of particular interest to HIS practitioners, systems engineers and managers, as well as government and industry decision-makers who must weigh the recommendations of all multidiscipline contributing to systems performance, safety and costs in order to reach sound systems acquisitions decisions. Published by John Wiley & Sons Edited by François Sainfort, Margaret L. Brandeau and William P. Pierskalla The decision technologies, tools and theories of operations research and management sciences have long been applied to a wide range of issues and problems within health care. To date, however, there has been no single handbook that synthesizes the wide applicability of such techniques. The "Handbook of Operations Research and Health Care" now makes available to practitioners, students and researchers a comprehensive handbook volume that will help them improve their ability to apply these decision technologies. In addition, the handbook will present new state-of-the-art techniques, explore new issues and challenges, and examine new avenues for research. This handbook will fill these needs in a three-fold approach: 1. It reviews health care systems (in the U.S., other developed countries, and developing countries), their structure, environment and evolution. It reviews key issues, problems and challenges experienced today and to be expected in the future. 2. It synthesizes decision technology applications published in the last 10 years. It describes which health care delivery issues, problems and challenges were addressed in the past, while highlighting areas for future operations research/management science work in health care. 3. It provides a comprehensive series of state-of-the-art applications each of which are written by a leading authority detailing the problem area, the methodology (or methodologies) employed, the implementation, the results and the issues/avenues raised for future research. The handbook will serve a large multidisciplinary audience that includes: decision technology practitioners, students, scientists and researchers with interest (either new interest or existing expertise) in health care, practitioners in health sciences, health administration, public health, health care delivery and health policy. Published by Kluwer Academic Publishers By Paul Glasserman Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, simulated research into new Monte Carlo methods and renewed interest in some older techniques. This book develops the use of Monte Carlo methods in finance, and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It dives toughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundation of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options and measuring market risk and credit risk in financial portfolios. The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation and practitioners implementing models in industry. Published by Springer-Verlag. Community Operational Research Edited by Gerald Midgley and Alejandro Ochoa-Arias This book sets out the current concerns of community operational research and explores new possibilities for its development. Leading community OR writers with international reputations in operational research and systems, have contributed chapters that illuminate different aspects of community OR theory and practice. Following an introductory chapter by the editors on community OR, the book is presented in four sections: Section one presents the history and development of community OR and people's motivations for engaging in it. Methodological issues are also discussed. Section two covers local action for community development. Even though the emphasis is on dealing with local issues, all the authors use methods and techniques to support widely informed decision-making. In every case, the impacts of a complex variety of phenomena are taken into account. Section three is entitled "Dealing Locally with Global Issues." Here, the themes of community development are taken one stage further, and includes authors who are explicitly seeking to address global issues (e.g., environmental problems and the international dimensions of poverty) through widely informed local action. Finally, section four, "The Politics of Systemic Intervention," discusses two themes: the political nature of community OR practice and the value of systems thinking to community development. Published Kluwer Academic Publishers. New Efficiency Theory By Jati K. Sengupta New efficiency theory refers to the various parametric and semi-parametric methods of estimating production and cost frontiers, which include data envelopment analysis (DEA) with its diverse applications to management science and operations research. This monograph develops and generalizes the new efficiency theory by highlighting the interface between economic theory and operations research. Some of the features of the monograph include: 1) integrating the theory of firm efficiency and industry equilibrium, 2) emphasizing growth of efficiency in a dynamic setting, 3) incorporating uncertainty of market demand and prices, 4) the implications of group efficiency by sharing investments. Applications discuss in some detail the growth and decline of the U.S. computer industry, and the relative performance of mutual fund portfolios. Published by Springer-Verlag. Quantitative Methods in Project Management By John C. Goodpasture This unique reference provides the basis for calculating project value and setting up the metrics that will be measures of success. It also helps project managers understand the numerical values of risks to be addressed. Written for project practitioners who are not steeped in theory, this book is filled with easily applied practical methods. It includes examples set in a project manager's context so that you can put the concepts into action immediately. The author takes you through the most useful day-to-day quantitative methods, integrates those methods into a loosely coupled workflow, and shows the interrelationships that cannot be obtained by separate readings. Published by J. Ross Publishing. Multiobjective Optimization: Principles and Case Studies By Yann Collette and Patrick Siarry From whatever domain they come, engineers are faced daily with optimization problems that require conflicting objectives to be met. This monograph presents several multiobjective optimization methods accompanied by many analytical examples. Each method or definition is clarified, when possible, with an illustration. "Multiobjective Optimization" treats not only engineering problems, e.g. in mechanics, but also problems arising in operations research and management. It explains how to choose the most suitable method to solve a given problem and uses three primary application examples: optimization of the numerical simulation of an industrial process; sizing of a telecommunication network; and decision-aid tools for the sorting of bids. Published by Springer-Verlag. Marketing Research and Modeling Edited by Yoram Wind and Paul E. Green This book addresses state-of-the-art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian decision analysis, multivariate analysis, multidimensional scaling, conjoint analysis, applications of conjoint and MDS technique, data mining, cluster analysis and neural networks. Published by Kluwer Academic Publishers.
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