Energy management in crop production using a novel fuzzy data envelopment analysis model

2018 ◽  
Vol 52 (2) ◽  
pp. 595-617 ◽  
Author(s):  
Mohammad Izadikhah ◽  
Alireza Khoshroo
Keyword(s):  
Data Envelopment Analysis ◽  
Crop Production ◽  
Fuzzy Variable ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Dea Model ◽  
Model Based ◽  
Smoke Pollution ◽  
Fuzzy Dea

Data envelopment analysis is a relatively “data oriented” approach to measure the efficiency of a set of decision making units which transform multiple inputs into multiple outputs. However, some production processes may generate undesirable outputs like smoke pollution or waste. On the other hand, in many situations, such as a manufacturing system, a production process or a service system, inputs and outputs can be considered as a fuzzy variable. Thus, this paper has presented a new non-radial DEA model based on a modification of Enhanced Russell Model (ERM model) in the presence of an undesirable output in a fuzzy environment. Hereafter, a method for solving the proposed fuzzy DEA model based on the concept of alpha cut and possibility approach is presented. A useful stochastic closeness coefficient is also proposed to present a complete ranking. The proposed methodology is applied to evaluate the efficiencies of barley production farms in 22 provinces in Iran.

scholarly journals Measuring Operational Efficiency of Foreign Branches of Bangladeshi Banks as Financial Intermediary

2020 ◽  
Vol 15 (2) ◽  
pp. 165
Author(s):  
Asmina Akter
Keyword(s):  
Data Envelopment Analysis ◽  
Operational Efficiency ◽  
Parent Company ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Financial Intermediary ◽  
Intermediary Organization ◽  
Dea Model

In this study an Output-oriented DEA (Data Envelopment Analysis) model is used to measure operational efficiency of foreign branches of Bangladeshi banks as financial intermediary organization for borrowing funds from savers and lending those funds to others for making profit. Among 58 Bangladeshi banks there are only three Bangladeshi banks which have in total seven foreign branches in different foreign locations. A branch of bank can’t be separated legally from its parent company and supervised by its home authorities as part of supervision of the banking group as a whole. By employing DEA model and using “Financial Intermediary Approach” this study found that as a financial intermediary organization between savers and borrowers these foreign branches of Bangladeshi banks are performing efficiently over the years. Among three banks Janata Bank Limited and AB Bank limited are performing most efficiently and Sonali Bank Limited is performing less efficiently relative to two other banks in operating their foreign branches as a financial intermediary organization for borrowing funds from savers and lending those funds to others for making profit.

Evaluating Taiwanese Bank Efficiency Using the Two-Stage Range DEA Model

2016 ◽  
Vol 16 (04) ◽  
pp. 1043-1068 ◽  
Author(s):  
Wei-Hsin Kong ◽  
Tsu-Tan Fu ◽  
Ming-Miin Yu
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Negative Data ◽  
Two Stage ◽  
Data Set ◽  
Dea Model ◽  
Domestic Banks

This paper develops a range directional distance data envelopment analysis (DEA) model to simultaneously deal with the problems of negative data and undesirable outputs in the study of performance measurement with two-stage DEA. We report on the development of this model to handle both positive and negative data in a DEA framework and accommodate the problem of undesirable intermediate outputs in the first stage of operational processes. Unlike previous two-stage DEA models we allow for a nonuniform abatement factor imposing on stage 1’ production technology. Such a model is then applied to evaluate Taiwanese bank efficiencies both at the operational stage and profitability stage in banking activities based on a data set consisting of 35 domestic banks in Taiwan in the period 2007. The results indicate that, by the range directional two-stage data envelopment analysis model, the operational efficiency was smaller than the profitability efficiency. Many banks generated too many performing loans in which independent banks should reduce more performing loans than financial holding company subsidiary banks. Both the ratio of investments to loans and the ratio of nonperforming loans to performing loans did not have significant contributions to the efficiency. This paper is able to provide information for bank operators and researchers on the managerial and strategic implications of how negative data and undesirable outputs affect efficiency and how to measure efficiency appropriately.

Generalized Fuzzy Sample DEA Model and its Application in the Evaluation of Projects

2011 ◽  
Vol 63-64 ◽  
pp. 407-411
Author(s):  
Ren Mu ◽  
Zhan Xin Ma ◽  
Wei Cui ◽  
Yun Morigen Wu
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Input Output ◽  
Output Data ◽  
Dea Model ◽  
Decision Making Unit ◽  
Fuzzy Input ◽  
Fuzzy Dea

Evaluating the performance of activities or organizations by traditional data envelopment analysis model requires crisp input/output data. However, in real-world problems inputs and outputs are often with some fuzziness. To evaluate DMU with fuzzy input/output data, researchers provided fuzzy data envelopment analysis (FDEA) model and proposed related evaluating method. But up to now, we still cannot evaluate a fuzzy sample decision making unit (SDMU) for FDEA model. So this paper proposes a generalized fuzzy DEA model which can evaluate a sample decision making unit and a numerical experiment is used to illustrate this model.

scholarly journals MEASURING EFFICIENCY OF A UNIVERSITY FACULTY USING A HIERARCHICAL NETWORK DATA ENVELOPMENT ANALYSIS MODEL

2018 ◽  
Author(s):  
Rosmaini Kashim ◽  
Maznah Mat Kasim ◽  
Rosshairy Abd Rahman
Keyword(s):  
Data Envelopment Analysis ◽  
Measurement Model ◽  
Data Envelopment Analysis Model ◽  
Network Data ◽  
University Faculty ◽  
Data Envelopment ◽  
Analysis Model ◽  
Dea Model ◽  
Network Data Envelopment Analysis ◽  
The Impact

An efficiency measurement model of a university faculty is proposed with additional new sub-functions that produce new output variables, based on the network Data Envelopment Analysis (DEA) model for systems with a hierarchical structure.For production systems composed of hierarchical processes, the system efficiency is well represented as the aggregated performance of the components involved in the system. It is identified that the conventional DEA model ignores internal process activities in a university. Therefore, an improved DEA model based on a network structure that accounts for more activities in a university is proposed to measure its overall efficiency. The impact of major functions of a university are taken into account to represent the output variables in assessing the efficiency. Currently, collaboration activities have been given more attention, so, this variable is suggested as a new output for the hierarchical production system. In order to show the practicality of the model, a hypothetical set of data of 14 faculties has been used as a numerical example. The results show that none of the faculties is relatively efficient since its functions were found to be inefficient. The proposed model enables to help the management of university faculties to identify weaknesses of each function and thus to plan for suitable actions on improving the overall performance of the university.  

scholarly journals Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains

2019 ◽  
Author(s):  
Hossein Hajaji ◽  
Sara Yousefi ◽  
Reza Farzipoor Saen ◽  
Amir Hassanzadeh
Keyword(s):  
Data Envelopment Analysis ◽  
Supply Chains ◽  
Data Envelopment Analysis Model ◽  
Network Data ◽  
Data Envelopment ◽  
Analysis Model ◽  
Adaptive Network ◽  
Dea Model ◽  
Network Data Envelopment Analysis ◽  
Desirable And Undesirable Outputs

Nowadays, forward-thinking companies move beyond conventional structures of organizations and consider all parties of the supply chain. The objective of this paper is to present an adaptive network data envelopment analysis (DEA) model to evaluate overall and divisional efficiency of sustainable supply chains in the presence of desirable and undesirable outputs. Our adaptive network DEA model can assess overall and divisional efficiency of supply chains given managerial and natural disposability. Also, it suggests new investment opportunity given congestion type. A case study is presented.

ESTIMATING COST EFFICIENCY OF COMMERCIAL BANKS:DATA ENVELOPMENT ANALYSIS BASED ON VARIABLE RETURN TO SCALE

2020 ◽  
Vol 2 (3) ◽  
pp. 93-104
Author(s):  
Sherzod Xannaev ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Banking System ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Model Based

The banking system of our country consists of banks with various forms of ownership.In this paper, econometrically estimated the efficiency of banks with different forms of ownership and investigated the differences between them. The banks' cost efficiency was evaluated in the data envelopment analysis model based on the variable return scale

Eco-Efficiency Assessment of Farming Activity in China

2011 ◽  
Vol 361-363 ◽  
pp. 1776-1779
Author(s):  
Cui Yun Cheng ◽  
Jing Ming Ren ◽  
Ru Song Wang ◽  
Feng Liu
Keyword(s):  
Data Envelopment Analysis ◽  
Crop Production ◽  
Central Area ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Efficiency Assessment ◽  
Resource Input ◽  
Provincial Scale

This paper estimates the eco-efficiency of farming activity at a provincial scale in China based on Data Envelopment Analysis model. The results show that provinces in central area presented relatively lower eco-efficiency, the western provinces are higher eco-efficient, while provinces in eastern provinces are low or high eco-efficiency. It also indicates that provinces with higher crop production usually have lower eco-efficiency, which proves that Chinese crop production deeply depends on resource input.

Data Envelopment Analysis with Common Weights in a Fuzzy Environment

2017 ◽  
Vol 25 (06) ◽  
pp. 897-915 ◽  
Author(s):  
Cheng-Kai Hu ◽  
Fung-Bao Liu ◽  
Cheng-Feng Hu
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Fuzzy Environment ◽  
Fuzzy Data Envelopment Analysis ◽  
Order Preference ◽  
Entropic Regularization ◽  
Common Weight ◽  
Fuzzy Dea

This work considers providing a common base for measuring the relative efficiency of a group of homogeneous decision making units in a fuzzy environment. The principle of compromise of the technique for order preference by similarity ideal solution is employed for solving the data envelopment analysis model with fuzzy objectives and constraints. An algorithm with the entropic regularization implementation for finding the compromise solution of the fuzzy data envelopment analysis model is developed. An illustrative example verifying the idea of this paper is provided. The contribution of this work is represented by the improvement of the discriminatory power of the fuzzy DEA, gained through the common weight evaluation.

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