A fuzzy larg index model to the automotive supply chain

Susana G. Azevedo, Paulo Fazendeiro, V. Cruz-Machado

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Supply chains (SC) in an attempt to become more competitive, are adopting new management paradigms. Among these paradigms the following are considered particularly important to the SC's competitiveness: Lean (L), Agile (A), Resilient (R) and Green (G).This chapter proposes a fuzzy LARG index model to assess the implementation level of Lean, Agile, Resilient and Green management practices by automotive supply chains (SCs). To attain this objective a numeric-linguistic interface based on fuzzy logic is proposed and an illustrative case methodology followed. Due to the uncertainties surrounding the SC's environment and the qualitative description of the SC's management practices implementation level, fuzzy logic can provide an effective assessment tool able to quickly incorporate changes in the SC's business policy.

Original languageEnglish
Title of host publicationAirports and the Automotive Industry: Security Issues, Economic Efficiency and Environmental Impact
PublisherNova Science Publishers, Inc.
Pages125-144
Number of pages20
ISBN (Print)9781624171260
Publication statusPublished - Jan 2013

Keywords

  • Agile
  • Fuzzy logic
  • Green
  • Interpretability
  • Lean
  • Numeric-linguistic interfaces
  • Resilient
  • Supply chain management

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    Azevedo, S. G., Fazendeiro, P., & Cruz-Machado, V. (2013). A fuzzy larg index model to the automotive supply chain. In Airports and the Automotive Industry: Security Issues, Economic Efficiency and Environmental Impact (pp. 125-144). Nova Science Publishers, Inc..