DEA cross‐efficiency ranking method considering satisfaction and consensus degree

2021 ◽  
Author(s):  
Dongdong Wu ◽  
Yuhong Wang ◽  
Yong Liu ◽  
Jie Wu
Keyword(s):  
Ranking Method ◽  
Efficiency Ranking

Efficiency ranking method using DEA and TOPSIS (ERM-DT): case of an Indian bank

2016 ◽  
Vol 23 (1) ◽  
pp. 165-182 ◽  
Author(s):  
Asmita Chitnis ◽  
Omkarprasad S Vaidya
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Evaluation Process ◽  
Ranking Method ◽  
Undesirable Output ◽  
Content Type ◽  
Super Efficiency ◽  
Efficiency Ranking ◽  
Dea Approach ◽  
And Performance

Purpose – The purpose of this paper is to present a tie-breaking procedure for computing performance efficiencies to improve benchmarking and performance evaluation process in a business situation. Design/methodology/approach – The authors propose a unified approach based on data envelopment analysis (DEA) and technique for order of preference by similarity to ideal solution (TOPSIS), to overcome the difficulty of unique ranking in the prevalent benchmarking and performance evaluation processes such as DEA, Super efficiency DEA model, etc., under constant return to scale (CRS) assumption. This model is called as efficiency ranking method using DEA and TOPSIS (ERM-DT). In order to check the consistency of the approach, various input-output combinations (to calculate the efficiencies) have been illustrated. Further, the authors present a case of an Indian Bank to illustrate an application of the proposed approach. Findings – The proposed approach, ERM-DT enables assign a unique rank to decision making units and provides a tie breaking procedure. Results obtained using the proposed approach are statistically compared with those obtained from the CRS DEA approach and super efficiency DEA approach using Friedman’s test. Practical implications – The proposed model provides an efficiency ranking method based on a score obtained by considering the minimum distance from the best value and maximum distance from the worst value. The proposed methodology is capable of handling negative data and undesirable output variables. This approach is unit invariant and makes the calculations simple. The authors present an application to compute the efficiency of various branches of an Indian bank. The authors hope the proposed method can enhance the decision-making ability of the management in complex situations. Originality/value – The authors propose an integrated DEA and TOPSIS framework for better benchmarking and performance evaluation. This approach provides a tie-breaking procedure for the efficiencies computed using CRS DEA approach. Ranks are assigned based on score obtained by considering the distance from the worst and the best solution. The proposed approach can be used with non-positive data points and undesirable output variables.

Efficiency ranking method using SFA and TOPSIS (ERM-ST): case of Indian banks

2018 ◽  
Vol 25 (2) ◽  
pp. 471-488 ◽  
Author(s):  
Asmita Chitnis ◽  
Omkarprasad S. Vaidya
Keyword(s):  
Banking Sector ◽  
Stochastic Frontier Analysis ◽  
Real Life ◽  
Evaluation Framework ◽  
Ranking Method ◽  
Content Type ◽  
Frontier Analysis ◽  
Super Efficiency ◽  
Multiple Outputs ◽  
Efficiency Ranking

Purpose The purpose of this paper is to propose a performance evaluation framework using an integrated approach of stochastic frontier analysis (SFA) and technique of order preference with similarity to ideal solution (TOPSIS) called efficiency ranking method using SFA and TOPSIS (ERM-ST) specifically in the banking sector where service excellence is of prime importance for business growth. Design/methodology/approach The proposed approach ERM-ST measures the performance of a DMU in the SFA framework by considering multiple outputs and multiple inputs. It is a non-parametric tool which does not need any prior model assumptions which enhances its applicability in real-life business scenarios. Moreover, the efficiency score obtained using the proposed model ERM-ST lies between 0 and 1, unlike in case of super efficiency data envelopment analysis (DEA) which may go well above 1. Findings The proposed framework is evaluated for its applicability using two various data sets and is further used to evaluate the performance of a group of 26 public sector banks in India. The results obtained by the proposed method ERM-ST are compared with those obtained by super efficiency DEA using Friedman’s test. Originality/value The proposed approach ERM-ST is developed to evaluate the performance of a service unit with multiple outputs and multiple inputs in the SFA framework.

Sensitivity analysis using Morris: Just screening or an effective ranking method?

2021 ◽  
Vol 455 ◽  
pp. 109648
Author(s):  
Livia Paleari ◽  
Ermes Movedi ◽  
Michele Zoli ◽  
Andrea Burato ◽  
Irene Cecconi ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Ranking Method

scholarly journals Preference elicitation for a ranking method based on multiple reference profiles

4OR ◽  
2021 ◽  
Author(s):  
Alexandru-Liviu Olteanu ◽  
Khaled Belahcene ◽  
Vincent Mousseau ◽  
Wassila Ouerdane ◽  
Antoine Rolland ◽  
...  
Keyword(s):  
Preference Elicitation ◽  
Ranking Method ◽  
Multiple Reference

Shapley Ranking of Wines

2012 ◽  
Vol 7 (2) ◽  
pp. 169-180 ◽  
Author(s):  
Victor Ginsburgh ◽  
Israël Zang
Keyword(s):  
Game Theory ◽  
Unique Solution ◽  
Cooperative Game ◽  
Shapley Value ◽  
Rank Order ◽  
Jel Classification ◽  
Ranking Method ◽  
The Shapley Value ◽  
Shapley Values

AbstractWe suggest a new game-theory-based ranking method for wines, in which the Shapley Value of each wine is computed, and wines are ranked according to their Shapley Values. Judges should find it simpler to use, since they are not required to rank order or grade all the wines, but merely to choose the group of those that they find meritorious. Our ranking method is based on the set of reasonable axioms that determine the Shapley Value as the unique solution of an underlying cooperative game. Unlike in the general case, where computing the Shapley Value could be complex, here the Shapley Value and hence the final ranking, are straightforward to compute. (JEL Classification: C71, D71, D78)

Sign in / Sign up

Export Citation Format

Share Document