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Author Ferreira, A. ♦ Azevedo, S. ♦ Fazendeiro, P.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Barium ♦ Supply chains ♦ Computational intelligence ♦ Australia ♦ Pragmatics ♦ Green products ♦ Indexes ♦ Numeric-Linguistic Interfaces ♦ Fuzzy Supply Chain Performance Measures ♦ Interpretability
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.
Description Author affiliation: Management and Economics Department, University of Beira Interior, Covilhã, Portugal (Azevedo, S.) || Instituto de Telecomunicações - IT, (Portuguese Telecommunications Institute), Coimbra, Portugal (Fazendeiro, P.) || Department of Informatics, University of Beira Interior, Covilhã, Portugal (Ferreira, A.)
ISBN 9781467315074
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-06-10
Publisher Place Australia
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467315067
Size (in Bytes) 823.51 kB
Page Count 5
Starting Page 1
Ending Page 5


Source: IEEE Xplore Digital Library