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