An introduction to data envelopment analysis : a tool for performance measurement

著者

書誌事項

An introduction to data envelopment analysis : a tool for performance measurement

R. Ramanathan

Sage Publications, 2003

  • : India : hbk
  • : India : pbk
  • : us : hbk
  • : us : pbk

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注記

Includes bibliographical references (p.[189]-195) and index

内容説明・目次

内容説明

From the Foreword: 'This book is an excellent tool for practitioners who are interested in the merits and pitfalls of the technique.... (The author's) research is an example of inventiveness, diligence and accuracy' - Freerk A. Lootsma, Delft Institute of Technology Data envelopment Analysis is a Mathematical Programme for measuring performance efficiency of organizational units. The organizational units, termed as decision-making units (DMU) can be of any kind: manufacturing units, a set of schools, banks, hospitals, power plants, police stations, prisons, a set of firms etc. DEA has been unsuccessfully applied to measure the performance efficiency of these different kinds of DMUs which share a common characteristic - that they are non-profit organization where measurement of performance efficiency is difficult. DEA has been employed for assessing the relative performance of a set of firms that use a variety of identical inputs-say in the case of a school: quality of students, teachers, grants etc.,-to produce a variety of identical outputs-number of students who pass the final year, average grades obtained by the students in the final year etc. DEA assumes the performance of the DMUs by using the concepts of efficiency or productivity which is measured as the ratio of total outputs to total inputs. Also, the efficiencies estimated are relative to the best performing DMU or DMUs. The best performing DMU is given a score of 100% and the performance of other DMUs vary between 0 -100%.

目次

PART ONE: INTRODUCTION Decision-Making Units Basic Concepts of Efficiency Measurement Graphical Description - Frontier Analysis Strongly and Weakly Efficient DMUs Exercises PART TWO: MATHEMATICAL PROGRAMMING ASPECTS OF DEA Mathematical Formulation Exercises Dual DEA Models Multiplier and Envelopment DEA Programmes Input and Output Oriented Envelopment DEA Programs Relationships among Different DEA Formulations Exercises PART THREE: ECONOMIES OF SCALE Returns to Scale and DEA Variable Returns to Scales Multiplier DEA Programs Technical and Scale Efficiencies Estimation of the Most Productive Scale Size Investigating the Returns to Scale Properties of a DMU Exercises PART FOUR: MISCELLANEOUS DEA MODELS AND RECENT DEVELOPMENTS Multiplicative DEA Models Additive Models Time Series Analysis using DEA Some Extensions of DEA Exercises Other DEA Models and Extensions PART FIVE: COMPUTER-BASED SUPPORT FOR DEA Computational Features of DEA DEA Software Internet Support for DEA A Brief Description of DEA Software PART SIX: DEA BIBLIOGRAPHY AND APPLICATIONS Brief Literature Survey Selected DEA Applications PART SEVEN: SOME ADDITIONAL DISCUSSION ON DATA ENVELOPMENT ANALYSIS Some Considerations on the Application Procedure of DEA Strengths and Limitations

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