Back to Search Start Over

Use of Fuzzy Logic for Reconfigurability Assessment in Supply Chain

Authors :
Slim Zidi
Lyes Kermad
Basma Samir
Nadia Hamani
Laboratoire QUARTZ (QUARTZ )
Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI)
Laboratoire des technologies innovantes - UR UPJV 3899 (LTI)
Université de Picardie Jules Verne (UPJV)
ESTIA Recherche
Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)
Source :
International Journal of Fuzzy Systems, International Journal of Fuzzy Systems, Taiwan Fuzzy Systems Association, 2021, ⟨10.1007/s40815-021-01187-7⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Nowadays, the high competitiveness of a company depends on its ability to deal quickly and cost-effectively with the market disruptions. For this reason, companies should have an agile and flexible supply chains to solve problems related to the market fluctuation. In fact, supply chain reconfigurability is the ability to modify their capacity and functionality at the lowest cost. The objective of this article is to assess reconfigurability based on its characteristics (modularity, scalability, integrability, convertibility, diagnosability and customization) using Fuzzy logic. For this purpose, a quantitative evaluation of reconfigurability is proposed. In order to validate our assessment model, a case study is applied to evaluate the degree of reconfigurability after supply chain reconfiguration.

Details

Language :
English
ISSN :
15622479 and 21993211
Database :
OpenAIRE
Journal :
International Journal of Fuzzy Systems, International Journal of Fuzzy Systems, Taiwan Fuzzy Systems Association, 2021, ⟨10.1007/s40815-021-01187-7⟩
Accession number :
edsair.doi.dedup.....af6f322ec4fe5ff66917c9f3a65879c3
Full Text :
https://doi.org/10.1007/s40815-021-01187-7⟩