An Introduction to Data Envelopment Analysis - A Tool for - download pdf or read online

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By R Ramanathan

ISBN-10: 0761997601

ISBN-13: 9780761997603

ISBN-10: 076199761X

ISBN-13: 9780761997610

From the Foreword: 'This ebook is a superb device for practitioners who're attracted to the advantages and pitfalls of the technique…. (The author's) learn is an instance of inventiveness, diligence and accuracy' - Freerk A. Lootsma, Delft Institute of expertise info envelopment research is a Mathematical Programme for measuring functionality potency of organizational devices. The organizational devices, termed as decision-making devices (DMU) might be of any type: production devices, a collection of colleges, banks, hospitals, energy crops, police stations, prisons, a suite of corporations and so on. DEA has been unsuccessfully utilized to degree the functionality potency of those other forms of DMUs which percentage a typical attribute - that they're non-profit association the place dimension of functionality potency is hard. DEA has been hired for assessing the relative functionality of a suite of organisations that use various exact inputs-say when it comes to a college: caliber of scholars, lecturers, supplies etc.,-to produce a number of exact outputs-number of scholars who move the ultimate 12 months, ordinary grades got by means of the scholars within the ultimate yr and so on. DEA assumes the functionality of the DMUs through the use of the options of potency or productiveness that is measured because the ratio of overall outputs to overall inputs. additionally, the efficiencies expected are relative to the easiest acting DMU or DMUs. the easiest appearing DMU is given a rating of a hundred% and the functionality of different DMUs range among zero -100%.

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Extra resources for An Introduction to Data Envelopment Analysis - A Tool for Performance Measurement

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Input targets and slacks for other firms can be computed similarly. Using a similar logic, we can compute Output Targets and Output Slacks. 26 million or by 130 per cent for the same level of input (capital). 2 Case of Single Output and Two Inputs In practice, no firm consumes only one input to produce a single output. 4. 4 An additional input for four firms Firm No. 3 How do we compare the performance of the firms now? We can still use ratios, but we now have two ratios. 5. Throughout this textbook, whenever this example is considered, value added and capital employed are always measured in million dollars, and employees in thousands.

44 per cent. Similarly, the relative efficiency of Firm D can be estimated. 2 Performance Targets and Slacks for Inefficient Firms Similar to the earlier exercise, we can estimate input and output targets. Let us again consider Firm B. It can move up to the efficiency frontier in at least three ways. 9286. 1 (b) If Firm B reduces only its capital employed, keeping employees and value added unchanged, to move to point G. 78. 5 (c) If Firm B reduces both capital and employees in the same ratio, or increases value added (keeping the same ratio of inputs), it moves to point E.

As we have seen earlier, the dual DEA program for these two firms will indicate zero slacks and unit efficiency. For example, the dual DEA optimal results for Firm P are the following, where 5 A linear combination of a set of variables is one in which each variable is multiplied by a coefficient and the products summed. 5X3. If the formula for the new variable contains functions such as square roots or logarithms, then the new variable is not a linear combination of the other variables. 1 Efficiency frontier of four firms consuming two inputs lP* = q P* = 1.

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An Introduction to Data Envelopment Analysis - A Tool for Performance Measurement by R Ramanathan

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