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

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Artificial Intelligence for Fashion Industry in the Big Data Era

Part of the book series: Springer Series in Fashion Business ((SSFB))

Abstract

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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Authors and Affiliations

  1. ENSAIT-GEMTEX, 2 allée Louise et Victor Champier, 59100, Roubaix, France

    Yanni Xu, Sébastien Thomassey & **anyi Zeng

Authors
  1. Yanni Xu
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  2. Sébastien Thomassey
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  3. **anyi Zeng
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Correspondence to Yanni Xu .

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Editors and Affiliations

  1. ENSAIT-GEMTEX, Roubaix, France

    Sébastien Thomassey

  2. ENSAIT-GEMTEX, Roubaix, France

    **anyi Zeng

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Xu, Y., Thomassey, S., Zeng, X. (2018). AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing. In: Thomassey, S., Zeng, X. (eds) Artificial Intelligence for Fashion Industry in the Big Data Era. Springer Series in Fashion Business. Springer, Singapore. https://doi.org/10.1007/978-981-13-0080-6_7

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