using non-archimedean dea models for classification of dmus: a new algorithm
نویسندگان
چکیده
a new algorithm for classification of dmus to efficient and inefficient units in data envelopment analysis is presented. this algorithm uses the non-archimedean charnes-cooper-rhodes[1] (ccr) model. also, it applies an assurance value for the non-archimedean using only simple computations on inputs and outputs of dmus (see [18]). the convergence and efficiency of the new algorithm show the advantage of this algorithm compared to the thrall’s algorithm (see [23]).
منابع مشابه
Using Non-Archimedean DEA Models for Classification of DMUs: A New Algorithm
A new algorithm for classification of DMUs to efficient and inefficient units in data envelopment analysis is presented. This algorithm uses the non-Archimedean Charnes-Cooper-Rhodes[1] (CCR) model. Also, it applies an assurance value for the non-Archimedean using only simple computations on inputs and outputs of DMUs (see [18]). The convergence and efficiency of the ne...
متن کاملA Method for DMUs Classification in DEA
In data envelopment analysis, anyone can do classification decision units with efficiency scores. It will be interesting if a method for classification of DMUs without regarding to efficiency score is obtained. So in this paper, the classification of Decision Making Units (DMUs) is done according to the additive model without being solved for obtaining scores efficiency. This is because it ...
متن کاملDEA models for non-homogeneous DMUs with different input configurations
The data envelopment analysis (DEA) methodology is a benchmarking tool where it is generally assumed that decision making units (DMUs) constitute a homogeneous set; specifically, it is assumed that all DMUs have a common (input, output) bundle. In earlier work by the authors the issue of non-homogeneity on the output side was investigated. There we examined a set of steel fabrication plants whe...
متن کاملThe overall assurance interval for the non-Archimedean Epsilon in DEA models; a partition base algorithm
Mehrabian, et. al. (1998) presented a procedure for determining overall assurance interval of ε . Solving n linear programs are needed for this propose, where n is the number of Decision Making Units involved in the evaluation. This paper proposes an efficient algorithm that can determine the overall assurance interval of ε by solving a few number of linear programs. KeywordsData Envelopment An...
متن کاملA new approach to determine efficient DMUs in DEA models using inverse optimization
This paper proposes a new approach for determining efficient DMUs in DEA models using inverse optimi-zation and without solving any LPs. It is shown that how a two-phase algorithm can be applied to detect effi-cient DMUs. It is important to compare computational performance of solving the simultaneous linear equa-tions with that of the LP, when computational issues and complexity analysis are a...
متن کاملAn Algorithm for Resource Allocation through the Classification of DMUs
Data envelopment analysis (DEA) is a non-parametric method for assessing relative efficiency of decision-making units (DMUs). Every single decision-maker with the use of inputs produces outputs. These decision-making units will be defined by the production possibility set. Resource allocation to DMUs is one of the concerns of managers since managers can employ the results of this process to a...
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 analysisISSN 2345-458X
دوره 1
شماره 4 2013
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023