Paper Info
Title
Green supplier selection: a new genetic/immune strategy with industrial application
Abstract
With the onset of the ‘climate change movement’, organisations are striving to include environmental criteria into the supplier selection process. This article hybridises a Green Data Envelopment Analysis GDEA-based approach with a new Genetic/Immune Strategy for Data Envelopment Analysis GIS-DEA. A GIS-DEA approach provides a different view to solving multi-criteria decision making problems using data envelopment analysis DEA by considering DEA as a multi-objective optimisation problem with efficiency as one objective and proximity of solution to decision makers’ preferences as the other objective. The hybrid approach called GIS-GDEA is applied here to a well-known automobile spare parts manufacturer in India and the results presented. User validation developed based on specific set of criteria suggests that the supplier selection process with GIS-GDEA is more practical than other approaches in a current industrial scenario with multiple decision makers.
Year
DOI
Venue
2016
10.1080/17517575.2014.986220
Enterprise Information Systems
Keywords
Field
DocType
evolutionary algorithms,data envelopment analysis,genetic algorithms
Spare part,Evolutionary algorithm,Computer science,Operations research,Data envelopment analysis,Combinatorial analysis,Genetic algorithm
Journal
Volume
Issue
ISSN
10
8
1751-7575
Citations 
PageRank 
References 
4
0.40
18
Authors
4
Name
Order
Citations
PageRank
Amit Kumar114913.34
Vipul Jain230226.98
Sameer Kumar318422.82
Charu Chandra416818.83