Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review

2021 ◽  
Author(s):  
Pankaj Dutta ◽  
Bharath Jaikumar ◽  
Manpreet Singh Arora
Keyword(s):  
Data Envelopment Analysis ◽  
Literature Review ◽  
Supplier Selection ◽  
Data Envelopment

A hybrid approach using data envelopment analysis and artificial neural network for optimising 3PL supplier selection

2017 ◽  
Vol 26 (2) ◽  
pp. 203 ◽  
Author(s):  
Rakesh D. Raut ◽  
Sachin S. Kamble ◽  
Manoj G. Kharat ◽  
Hemendu Joshi ◽  
Chirag Singhal ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Data Envelopment Analysis ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
Data Envelopment ◽  
Artificial Neural ◽  
Using Data

scholarly journals Eco-efficiency Assessment in Agriculture: A Literature Review Focused on Methods and Indicators

2020 ◽  
Vol 12 (7) ◽  
pp. 118
Author(s):  
Luis H. Suzigan ◽  
Carlos Rosano Peña ◽  
Patricia Guarnieri
Keyword(s):  
Data Envelopment Analysis ◽  
Literature Review ◽  
Social Impact ◽  
Efficiency Analysis ◽  
Environmental Indicators ◽  
Social Dimension ◽  
Data Envelopment ◽  
Agricultural Systems ◽  
Efficiency Assessment ◽  
Wide Range

Combining economic performance with environmental and social concern has been a developing topic in recent decades. Eco-efficiency analysis is a widely applied tool to assess the efficiency of agricultural systems, while increasingly considering their environmental and social impact. The main objective of this article is to accomplish a literature review on the application of eco-efficiency analysis in agricultural systems, focusing on methods and indicators that are most regarded for the quantitative assessment of agricultural eco-efficiency. The literature review found two main methods most widely applied to assess eco-efficiency: Life Cycle Assessment (LCA) and Data Envelopment Analysis (DEA), which are often combined. LCA is generally focused on the assessment of the environmental impacts of products and practices. DEA is mostly used to measure the eco-efficiency of decision-making units, such as farms, regions, or countries, and has no subjective focus on neither technical nor environmental performance. Both methods share a wide range of economic and environmental indicators but fail to incorporate the social dimension of sustainability into the eco-efficiency analysis. A simple framework, based on Data Envelopment Analysis, is offered to assess the eco-efficiency of the Brazilian agriculture, aiming at identifying the benefits and limitations of the analysis.

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