نتایج جستجو برای: inverse data envelopment analysis dea

تعداد نتایج: 4544650  

2014
R. Radfar

Supplier selection is a multi-Criteria problem. This study proposes a hybrid model for supporting the suppliers’ selection and ranking. This research is a two-stage model designed to fully rank the suppliers where each supplier has multiple Inputs and Outputs. First, the supplier evaluation problem is formulated by Data Envelopment Analysis (DEA), since the regarded decision deals with uncertai...

Journal: :European Journal of Operational Research 2014
Ole Bent Olesen John Ruggiero

The variable returns to scale data envelopment analysis (DEA) model is developed with a maintained hypothesis of convexity in input-output space. This hypothesis is not consistent with standard microeconomic production theory that posits an S-shape for the production frontier, i.e. for production technologies that obey the Regular Ultra Passum Law. Consequently, measures of technical efficiency...

Journal: :Computers & OR 2008
Ronald K. Klimberg Samuel J. Ratick

Many types of facility location/allocation models have been developed to find optimal spatial patterns with respect to location criteria such as: cost, time, coverage, and access. In this paper we develop and test location modeling formulations that utilize aspects of the data envelopment analysis (DEA) efficiency measure to find optimal and efficient facility location/allocation patterns. Solv...

Journal: :J. Applied Mathematics 2013
Kerry Khoo-Fazari Zijiang Yang Joseph C. Paradi

This paper proposes a new efficiency benchmarking methodology that is capable of incorporating probability while still preserving the advantages of a distribution-free and nonparametric modeling technique. This new technique developed in this paper will be known as the DEA-Chebyshev model. The foundation of DEA-Chebyshev model is based on the model pioneered by Charnes, Cooper, and Rhodes in 19...

2012

Benchmarking cleaner production performance is an effective way of pollution control and emission reduction in coal-fired power industry. A benchmarking method using two-stage super-efficiency data envelopment analysis for coal-fired power plants is proposed – firstly, to improve the cleaner production performance of DEA-inefficient or weakly DEA-efficient plants, then to select the benchmark f...

Journal: :Croatian Operational Research Review 2023

Few inverse data envelopment analysis (DEA) models have incorporated non-discretionary measures based on radial efficiency values. However, the may be miscounted in approaches when some non-zero slacks appear. Furthermore, there is scant research DEA to estimate performance restaurant industry. Accordingly, this proposes non-radial analyze and output changes of Iranian restaurants while also pr...

Journal: :European Journal of Operational Research 2010
Nicole Adler Ekaterina Yazhemsky

Within the data envelopment analysis context, problems of discrimination between efficient and inefficient decision-making units often arise, particularly if there are a relatively large number of variables with respect to observations. This paper applies Monte-Carlo simulation to generalize and compare two discrimination-improving methods; principal component analysis applied to data envelopme...

2015
Joseph Paradi D’Andre Wilson Xiaopeng Yang

of Workshop 2015 -Advances in DEA Theory and Applications with Extensions to Forecasting Models Date December 1 st -2 nd , 2015 Venue: Conference Room 4A, National Graduate Institute for Policy Studies (GRIPS) Workshop Organizer: Prof. Kaoru Tone, GRIPS December 1 st , 13:25-17:00 13:25-13:30 Opening Remarks: Prof. Kaoru Tone (GRIPS, Japan) 13:30-15:00 Session 1. Chair: Prof. Joseph Paradi (Uni...

Journal: :مدیریت صنعتی 0
احمد رضا جعفریان مقدم دانشگاه علم و صنعت ایران کیوان قصیری دانشگاه علم و صنعت ایران

data envelopment analysis (dea) is a managerial powerful tool for assess the performance of decision making units (dmus). nowadays, multi-objective dea models are an attractive technique for evaluation quantity and quality aspects of performance analysis. but these models are in static. in this paper, we want to present a proposed fuzzy dynamic multi-objective dea model in which data are changi...

Journal: :international journal of data envelopment analysis 2015
hamid sharafi mohsen rostamy-malkhalifeh alireza salehi mohammad izadikhah

on account of the existence of uncertainty, dea occasionally faces the situation of imprecise data, especially when a set of dmus include missing data, ordinal data, interval data, stochastic data, or fuzzy data. therefore, how to evaluate the efficiency of a set of dmus in interval environments is a problem worth studying. in this paper, we discussed the new method for evaluation and ranking i...

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