some conditions for characterizing minimum face in non-radial dea models with undesirable outputs
نویسندگان
چکیده
the problem of utilizing undesirable (bad) outputs in dea models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. the kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. also, there are some specific features of non-radial data envelopment analysis (dea) models for obtaining all projections of a decision making unit (dmu) on the boundary of production possibility set (pps) or efficient frontier. production technologies in dea are modeled by polyhedral sets that envelop the observed dmus. because the efficient frontiers of dea technologies are generally non-smooth and are characterized by different faces, thus, all projections of a dmu on efficient frontier can not belong to different faces that do not have common points. the rationale behind abovementioned statement is as follows: if all projections of a dmu belong to different faces then the interior points of pps will become efficient that contradicts the principles of optimality conditions in linear programming models. therefore all projections would belong to a unique face that is called minimum face. in this paper we propose a procedure to find minimum face and so all projections of a dmu on efficient frontiers in non-radial dea models with undesirable outputs. this leads us to an interesting algorithm to obtain minimum face.
منابع مشابه
Some Conditions for Characterizing Minimum Face in Non-Radial DEA Models with Undesirable Outputs
The problem of utilizing undesirable (bad) outputs in DEA models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. The Kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. Also, there are some specific features of non-radial data envelopment analysis (DEA...
متن کاملRadial and non-radial DEA models undesirable outputs: an application to OECD countries
Data envelopment analysis (DEA) is an effective tool to measure the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. This study classifies the outputs into desirable and undesirable outputs, and then presents two DEA models, radial and non-radial models, to measure the environment efficiency for DMUs with undesirable outputs. Finally, two proposed DEA models...
متن کاملTwo-stage DEA models with undesirable input-intermediate-outputs
Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative efficiencies of peer decision making units (DMUs). Many studies have examined DEA efficiencies of two-stage systems, where all the outputs from the first stage are the only inputs to the second stage. Although single-stage DEA models with undesirable input-outputs have been extensively studied, there still l...
متن کاملInputs/outputs estimation in DEA when some factors are undesirable
In this paper we investigate inputs/outputs estimate in the presence of undesirable factors. We discuss such questions: suppose some outputs (inputs) are undesirable and among a group of decision making units (DMUs) a DMU changes (increases and decreases simultaneously) some of its input (output) levels, how much outputs (inputs) could the unit change such that its efficiency index remains unch...
متن کاملNon-Radial Directional Performance Measurement with Undesirable Outputs
The objective of this paper is to provide a comprehensive efficiency measures to estimate the performances of OECD and non-OECD countries. A Russell directional distance function that appropriately credits the decision making unit not only for increase in desirable outputs but also for the decrease of undesirable outputs is derived from the proposed weighted Russell directional distance model. ...
متن کاملProduction planning considering undesirable outputs-A DEA
While the conventional DEA based production plans aim to minimize all the inputs consumption and maximize all the outputs production, there are many real world production systems may also generate undesirable by-products. One methodological difficulty associated with the previous DEA-based production planning models is how to incorporate undesirable factors in the planning models, while the sim...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
international journal of data envelopment analysisجلد ۴، شماره ۱، صفحات ۹۰۳-۹۰۹
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023