Components of efficiency evaluation in data envelopment analysis

Ali, Agha Iqbal; Lerme, Catherine S.; Seiford, Lawrence M.

doi:10.1016/0377-2217(94)00131-u

Cited by 94 publications

(71 citation statements)

References 10 publications

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“…Furthermore, Färe and Grosskopf suggested an alternative approach based on directional output distance function. Later, Seiford and Zhu (2005) replied to the critic made proposing that the model based on directional output distance function is very similar to the weighted additive model (Ali et al, 1995;Thrall, 1996;Seiford and Zhu, 1998) where the bad outputs are treated as controllable inputs.…”

Section: Introductionmentioning

confidence: 99%

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Halkos

Tzeremes

2013

European Journal of Operational Research

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Section: Introductionmentioning

confidence: 99%

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Halkos

Tzeremes

2013

European Journal of Operational Research

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“…The Value-Based DEA method [32] is a MAUT-based variant of the additive DEA model with oriented projections [35], able to incorporate imprecise information about the DM's preferences. MAUT is used to evaluate the utility of each alternative, taking into account the multiple criteria.…”

Section: The Value-based Dea Methodsmentioning

confidence: 99%

“…Moreover, the weights used in the aggregation gain a specific meaning: they are the scale coefficients of the utility functions. The weights are variables to be set by each DMU in order to become the best DMU (if possible) or else to minimize the utility difference to the best DMU, rather than being fixed beforehand as in [35] or [45].…”

Section: =1mentioning

confidence: 99%

“…It uses the Value-Based DEA method [32], which has proven useful for this type of evaluation in previous studies [33,34]. This method builds on the additive DEA model with oriented projections [35], using concepts developed in the field of MCDA under imprecise information [36,37]. Input and output factors are converted into utility functions according to the preference information provided by a group of decision makers (GDM).…”

Section: Introductionmentioning

confidence: 99%

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An application of value-based DEA to identify the best practices in primary health care

et al. 2015

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ABSTRACT. In 2005 a new phase for Primary Health Care (PHC) in Portugal began, leading to the voluntary and independent creation of Family Health Units. The impact of this reform is now being witnessed, which justifies the need to evaluate its results as far as best practices in PHC are concerned.This work uses a Value-Based Data Envelopment Analysis (DEA) method, which combines an additive DEA model with Multi-Criteria Decision Analysis (MCDA) concepts, to allow incorporating managerial preferences in the performance assessment of 12 health centres in a Portuguese region. Two models are presented for evaluating access to PHC, which resulted from discussions with a group of decision makers.This analysis helped the decision makers in the identification of best practices, sources of inefficiency and gaps relatively to the best practices, thus leading to shape opportunities for improvement.

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“…A DMU is the unit that actually makes business decisions, and whose performance is characterized by a set of inputs and outputs, and their interdependence. Decision units are compared with the weights that are assessed using the same parameters, and the larger the set of units, the more objective is the analytical process [2,5]. Let us analyze a set of n DMU observations.…”

Section: Dea Approach and Methodologymentioning

confidence: 99%