Interval inefficiency assessment using data envelopment analysis hosseinmonfared departement of mathemeatics, islamic azad university, germibranch, germi, iran corresponding author email. Download selected publications of professor ali emrouznejad. Threestage data envelopment analysis as a tool for nurse. Data envelopment analysis using stata discussion help. One of the uses of data envelopment analysis dea is technology selection. Data envelopment analysis dea measures relative efficiency among the decision making units dmu without considering noise in data. A generalized model for data envelopment analysis with interval. The least efficient dmu indicates that it is in the worst situation. This paper studies how to conduct efficiency assessment using data envelopment analysis dea in interval andor fuzzy inputoutput environments. Unless i get your data set, it will be hard task to be exact with your problem. Sensitivity analysis in data envelopment analysis for interval data.
Qualitative and quantitative data envelopment analysis. Introduction after its introduction charnes, cooper and rhodes, 1978 data envelopment analysis. A data envelopment analysis model with interval data and undesirable output for combined cycle power plant performance assessment. Sustainable efficiency assessment of private diagnostic. We propose a customized data envelopment analysis dea. Efficiency score from data envelopment analysis can. Data envelopment analysis dea is a method to estimate the relative efficiency of decisionmaking units dmus performing similar tasks in a production system. Read on return to scale of fully efficient dmus in data envelopment analysis under interval data, applied mathematics and computation on deepdyve, the largest online rental service for. A new pair ofinterval dea models is constructed on the basis ofinterval arithmetic, which differs from the existing dea models handling interval data in that the former is. Citeseerx document details isaac councill, lee giles, pradeep teregowda.
Sensitivity analysis in data envelopment analysis for. Pdf efficiency measurement in data envelopment analysis in the. There is an increasing concern with measuring and comparing the efficiency of organisational units such as local authority departments, schools, hospitals, shops, bank branches and similar instances where. Data envelopment analysis dea is a nonparametric approach to evaluating the relative efficiency of decision making units dmus that use multiple inputs to produce multiple outputs.
On return to scale of fully efficient dmus in data. It is used to empirically measure productive efficiency of. In this paper, we investigate dea with interval inputoutput data. This paper firstly discusses the main weakness of the existing model in. Data envelopment analysis also can be used for the future programming of organizations and the response. This paper considers the problem of interval scale data in the most widely used models of data envelopment analysis dea. This note introduces a method known as data envelopment analysis dea as a tool for computing priority measures for affected communities, sites or social groups.
The present study is focused on intergroup data usage for a relative evaluation. Pdf several methods have been proposed in data envelopment analysis dea for measuring efficiency in problems with interval or ordinal data. Interval inefficiency assessment using data envelopment. Cook, modeling data irregularities and structural complexities in data envelopment analysis, springer, boston, 2007 isbn. Dealing with interval scale data in data envelopment analysis merja halme tarja joro matti koivu 1. First we show various extensions of efficiency and that 25 of them are essential. Interval data envelopment analysis for intergroup data usage. Drill into those connections to view the associated network performance. The main research problem of our study was how to incorporate a large number of different aspects and results of nurse leaders work into a unified system that enables consistent. Interval efficiency assessment using data envelopment. Pdf determining the optimal scale size of a combined cycle power plant is inherently a complex problem often with multiple and conflicting. Hybrid cluster and data envelopment analysis with interval. Pdf efficiency measurement in data envelopment analysis.
Suppliers are prequalified according to this index and are allocated orders using multiple criteria models for single and multiple sourcing. Exploring output quality targets in the provision of perinatal care in england using data envelopment analysis, european journal of operational research, elsevier, vol. An overall profit malmquist productivity index with fuzzy and interval data. How data envelopment analysis works frontier analyst. Server and application monitor helps you discover application dependencies to help identify relationships between application servers.
Analysis of interval data envelopment efficiency model. Interval data envelopment analysis interval dea which is the approach that could make efficiency measurement with interval or fuzzy input and output data of data envelopment analysis dea which. This process is experimental and the keywords may be updated as the learning algorithm improves. Efficiency measures in data envelopment analysis with fuzzy hikari. In this study, we demonstrate the aggregation of environmental and economic supplier performance criteria into a single ecoefficiency index using data envelopment analysis dea for interval data. However, because of imprecise data, reliable results from laboratory performance cannot be obtained easily. A new pair ofinterval dea models is constructed on the basis ofinterval arithmetic, which differs from. Data envelopment analysis linear programming problem data envelopment analysis model interval data polygonal line these keywords were added by machine and not by the authors. Data envelopment analysis, fuzzy number, interval data. Rezaee, risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and.
Pdf statistical interval for data envelopment analysis journal of. If you use any of these functions in your own work, then please. Ranking technology suppliers in data envelopment analysis core. Efficiency in the worst production situation using data. One technique widely applied to measure the relative efficiency of a. Utilities for data envelopment analysis dea this repository will host various utilities that one may need when doing a dea analysis. This paper studies how to conduct efficiency assessment using data envelopment analysis dea in interval andor fuzzy. A new pair ofinterval dea models is constructed on. The purpose of this paper is to illustrate the use of interval network data envelopment analysis. Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Agrell 2014 interval data without sign restrictions in dea, applied mathematical modelling, 38. Setting targets with interval data envelopment analysis. Dealing with interval scale data in data envelopment.
This paper studies how to conduct efficiency assessment using data envelopment analysis dea in interval andor fuzzy inputoutput. This papaer considers the problem of interval scale data in the most widely used models of data envelopment analysis dea, the ccr, and the bcc models. Several methods have been proposed in data envelopment analysis dea for measuring efficiency in problems with interval or ordinal data. The objective of this paper is to address a typical efficiency analysis problem, in which interval inputsoutputs are considered. Efficiency measures in data envelopment analysis with fuzzy and ordinal data. First, not considering the distribution of interval data, we introduce an adjusted. Twostage data envelopment analysis based on interval data. Several studies were conducted in order to prioritize efficient units and some useful models. A bilevel multiobjective data envelopment analysis model for estimating profit and. This research is based on the data envelopment analysis dea, which is used to measure the efficiency of a decision making.
Data envelopment analysis interval or dea interval is an approach that can make input and output data from data. Interval efficiency assessment using data envelopment analysis. Data envelope analysis dea is an approach to estimate the relative efficiency of decision making units dmus. Missing values in inputs, outputs cannot be handled by the original data envelopment analysis dea models.
Dealing with interval scale data in data envelopment analysis. Data envelopment analysis dea is a method in operations research, mainly in business engineering and economics, to measure productive efficiency in a decisionmaking unit dmu, such. The application of the proposed dea models is shown with a real dataset. Journal preproofs intervalvalued intuitionistic fuzzy envelopment analysis and preference fusion wei zhou, jin chen, bingqing ding, sun meng pii. Abstract data envelopment analysis dea is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes. Data envelopment analysis dea analysis model can evaluate the relative efficiency of a set of dmu decisionmaking units with the right values but cannot handle data that is not correct, for example data. We propose a customized data envelopment analysis dea method for solving the return to scale rs problem in the presence of uncertain data and undesirable outputs. Frontier analyst uses a powerful technique called data envelopment analysis dea to assist you in doing this. Data envelopment analysis dea is a nonparametric method in operations research and economics for the estimation of production frontiers. Pdf a data envelopment analysis model with interval data and. Sensitivity analysis in data envelopment analysis for interval data to cite this article. Frontier methods of efficiency measurement include linear programming techniques e. Kaveh khalilidamghani, madjid tavana, elham hajisaami, a data envelopment analysis model with interval data and undesirable output for combined cycle power plant performance assessment, expert. Bootstrap, data envelopment analysis dea, hypothesis testing, dea bootstrap, standard error, confidence interval introduction data envelopment analysis dea is a non parametric.
Intervalvalued intuitionistic fuzzy envelopment analysis. Pdf analysis of interval data envelopment efficiency model. A new pair of interval dea models is constructed on. Pdf this study utilizes the data envelopment efficiency dea model to assess inputoutput efficiency from two perspectives. Pdf sensitivity analysis in data envelopment analysis. To select the best technologies in the presence of cardinal data, ordinal data, nondiscretionary factors, and. Data envelopment analysis dea, occasionally called frontier analysis, was first put forward by charnes, cooper and rhodes in 1978. In imprecise data envelopment analysis idea the data can be ordinal, interval and fuzzy. The analysis compares the relative efficiency of organisational units such as bank branches.
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