Paper Info
Title
A linguistic approach to supply chain performance assessment
Abstract
This paper proposes a fuzzy LARG (Lean, Agile, Resilient, Green) index model for supply chain (SC) performance assessment. Through its performance evaluation, SCs are able to measure their level of efficiency and its ability to react, efficiently, to changes in a competitive environment. The case study presented shows that due to the uncertainties surrounding the SC's environment and to the qualitative description of the SC's practices, fuzzy logic can provide an effective assessment tool able to quickly incorporate changes in the SC's business policy.
Year
DOI
Venue
2012
10.1109/FUZZ-IEEE.2012.6251327
Fuzzy Systems
Keywords
Field
DocType
fuzzy logic,fuzzy set theory,supply chain management,business policy,fuzzy LARG,fuzzy logic,lean-agile-resilient-green index model,linguistic approach,supply chain performance assessment,Fuzzy Supply Chain Performance Measures,Interpretability,Numeric-Linguistic Interfaces
Interpretability,Computational intelligence,Computer science,Fuzzy logic,Knowledge management,Risk analysis (engineering),Agile software development,Fuzzy set,Supply chain management,Supply chain,Artificial intelligence,Machine learning
Conference
ISSN
ISBN
Citations 
1098-7584 E-ISBN : 978-1-4673-1505-0
978-1-4673-1505-0
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Andre Ferreira181.01
Susana Garrido Azevedo2746.09
Paulo Fazendeiro3406.53