AI for Apparel Manufacturing in Big Data ...
Type de document :
Article dans une revue scientifique: Article original
URL permanente :
Titre :
AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing
Auteur(s) :
Xu, Yanni [Auteur]
Génie et Matériaux Textiles [GEMTEX]
École nationale supérieure des arts et industries textiles [ENSAIT]
Thomassey, Sebastien [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Ecole nationale supérieure des arts et industries textiles de Roubaix (ENSAIT)
Zeng, Xianyi [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Ecole nationale supérieure des arts et industries textiles de Roubaix (ENSAIT)
Génie et Matériaux Textiles [GEMTEX]
École nationale supérieure des arts et industries textiles [ENSAIT]
Thomassey, Sebastien [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Ecole nationale supérieure des arts et industries textiles de Roubaix (ENSAIT)
Zeng, Xianyi [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Ecole nationale supérieure des arts et industries textiles de Roubaix (ENSAIT)
Titre de la revue :
Springer Series in Fashion Business
Nom court de la revue :
Springer Series in Fashion Business
Numéro :
-
Pagination :
125-151
Date de publication :
2018-05-17
ISSN :
2366-8776
Mot(s)-clé(s) en anglais :
Artificial intelligence
Big data
Apparel manufacturing
Review
Big data
Apparel manufacturing
Review
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
In the fashion industry, the apparel manufacturing part contains four main processes involving cutting, sewing, finishing, and packing. The complex system deals with configuration of numerous operations and resources in ...
Lire la suite >In the fashion industry, the apparel manufacturing part contains four main processes involving cutting, sewing, finishing, and packing. The complex system deals with configuration of numerous operations and resources in facing of various uncertainties and under constraints of sequence, quantity, time, and cost. Artificial intelligence (AI) has been applied to provide optimal scenario in shorter time than traditional mathematical methods. Big data is helpful due to the ability of prediction for unraveling uncertainties which ensures a smooth and stable production. For improvement of apparel manufacturing in modern fashion industry, it is necessary to develop the capabilities of advanced computing technologies and take great advantage of valuable information that can be dug out from big data.Lire moins >
Lire la suite >In the fashion industry, the apparel manufacturing part contains four main processes involving cutting, sewing, finishing, and packing. The complex system deals with configuration of numerous operations and resources in facing of various uncertainties and under constraints of sequence, quantity, time, and cost. Artificial intelligence (AI) has been applied to provide optimal scenario in shorter time than traditional mathematical methods. Big data is helpful due to the ability of prediction for unraveling uncertainties which ensures a smooth and stable production. For improvement of apparel manufacturing in modern fashion industry, it is necessary to develop the capabilities of advanced computing technologies and take great advantage of valuable information that can be dug out from big data.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
ENSAIT
Junia HEI
ENSAIT
Junia HEI
Collections :
Date de dépôt :
2023-06-20T10:59:43Z
2024-02-29T09:58:10Z
2024-02-29T09:58:10Z