Developing a data-driven operational guide for the texturized yarn production process: data mining and intelligence approach
Saba Sareminia,
Zahra Ghayoumian,
Fatemeh Haghighat
Abstract:PurposeThe textile industry holds immense significance in the economy of any nation, particularly in the production of synthetic yarn and fabrics. Consequently, the pursuit of acquiring high-quality products at a reduced cost has become a significant concern for countries. The primary objective of this research is to leverage data mining and data intelligence techniques to enhance and refine the production process of texturized yarn by developing an intelligent operating guide that enables the adjustment of pr… Show more
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