Mathematical Programming for Industrial Engineers
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#1997 Operational Research Society Ltd. All rights reserved. 0160-5682/97 $12.00
Book Selection Edited by JOHN M. WILSON CHARNES A, COOPER W, LEWIN AY and SEIFORD LM (eds). Data Envelopment Analysis Theory, Methodology and Applications KORSHUNOV AD (ed). Discrete Analysis and Operations Research BIETHAHN J and NISSEN V (eds). Evolutionary Algorithms in Management Applications AVRIEL M and GOLANY B (eds). Mathematical Programming for Industrial Engineers BERTSEKAS DP. Nonlinear Programming
Data Envelopment Analysis Theory, Methodology and Applications CHARNES A, COOPER W, LEWIN AY and SEIFORD LM (eds). Kluwer Academic Publishers, London, 1995, xii 513 pp. £105.00 ISBN 0 7923 9479 8 The pursuit of organizational ef®ciency has become something of an obsession for the modern manager. However, managers interested in identifying ef®cient practice have few tools available, other than the juvenilia hawked by accountants. A notable exception is the technique known as data envelopment analysis (DEA), which was introduced to the world in its modern form in 1978. The deceptively simple DEA model has since become a remarkably fertile ®eld for both research and practice. DEA offers an insight into the relative ef®ciency of comparable `decision-making units' such asÐsayÐ schools. It offers a conservative estimate of comparative ef®ciency in situations in which multiple inputs and multiple outputs are found. The technique exploits limited data to its full extent, and can be used to examine technical ef®ciency, allocative ef®ciency and scale ef®ciency. It has proved to be immensely useful in a wide range of settings. On the downside, the technique is sensitive to data accuracy, and some DEA practitioners are guilty of stretching their analysis beyond the capacity of the data available to them. This long awaited book seeks to summarize and codify the state of current scienti®c knowledge relating to DEA. It comprises three parts: an introduction to the concepts, models and computational aspects of DEA; a set of case studies; and an epilogue and bibliography. Part I ®rst offers an intuitive insight into DEA and then develops a sequence of basic theoretical models, followed by a series of re®nements and extensions. The intention is to present a uni®ed treatment of the topic. This part of the book will enable
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researchers to gain an entree into the subject, and to use a common terminology in describing their work. Indeed in a noteworthy development the publishers will give permission to authors to incorporate material from these early chapters into their books. The case studies in Part II cover a wide range of topics, and are written by many of the most prominent researchers in DEA. They will undoubtedly inspire both researchers and practitioners. In Part III almost all readers will offer grateful thanks for Larry Seiford's remarkably comprehensive bibliography. The editors hope that the text will serve as an introduction to new users and a reference for the more experienced. How does it measure up to its ambitio
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