AI for Apparel Manufacturing in Big Data ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing
Author(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)
Journal title :
Springer Series in Fashion Business
Abbreviated title :
Springer Series in Fashion Business
Volume number :
-
Pages :
125-151
Publication date :
2018-05-17
ISSN :
2366-8776
English keyword(s) :
Artificial intelligence
Big data
Apparel manufacturing
Review
Big data
Apparel manufacturing
Review
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
ENSAIT
Junia HEI
ENSAIT
Junia HEI
Collections :
Submission date :
2023-06-20T10:59:43Z
2024-02-29T09:58:10Z
2024-02-29T09:58:10Z