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Article Dans Une Revue Springer Series in Fashion Business Année : 2018

AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing

Résumé

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.
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hal-04483421 , version 1 (29-02-2024)

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Yanni Xu, Sebastien Thomassey, Xianyi Zeng. AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing. Springer Series in Fashion Business, 2018, Springer Series in Fashion Business, -, pp.125-151. ⟨10.1007/978-981-13-0080-6_7⟩. ⟨hal-04483421⟩

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