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    섬유·패션분야 온디맨드 제조기술 = On-Demand Manufacturing Technology in Textile and Fashion Industry

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    https://www.riss.kr/link?id=A110097459

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study examines the emerging on-demand manufacturing model in the textile and apparel industry as an alternative to conventional forecast-driven mass production systems. Traditional manufacturing approaches, which primarily rely on large-scale preproduction, have generated persistent challenges, including excess inventory, material waste, longer lead times, and limited responsiveness to rapidly evolving consumer demands. On-demand manufacturing addresses these structural limitations by facilitating production only after demand is confirmed, thereby reshaping the logic of textile and apparel supply chains. This study categorizes on-demand manufacturing systems into five major types: textile on-demand manufacturing at the fiber and fabric stage, print on-demand garment production, mass customization, digital sampling and software-as-a-service platforms, and additive fabric and knitting-based manufacturing. By examining these categories across different stages of the value chain, the study clarifies how digitalization, automation, and data-driven decision-making enable inventory-free or inventory-minimized production while maintaining design flexibility and production efficiency. Drawing on representative global and domestic industry cases, this study illustrates how on-demand manufacturing is implemented through digital textile printing, 3D knitting, microfactory-based production, and integrated digital design workflows. These cases demonstrate the potential of on-demand systems to shortening lead times, reducing production waste, and supporting localized manufacturing models aligned with sustainability goals. The findings suggest that on-demand manufacturing represents a structural transformation rather than a simple technological upgrade. By integrating Textile 4.0 technologies such as artificial intelligence, internet of things, and digital simulation, on-demand manufacturing provides a viable pathway toward a more flexible, resilient, and sustainable textile and apparel industry.
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    This study examines the emerging on-demand manufacturing model in the textile and apparel industry as an alternative to conventional forecast-driven mass production systems. Traditional manufacturing approaches, which primarily rely on large-scale pre...

    This study examines the emerging on-demand manufacturing model in the textile and apparel industry as an alternative to conventional forecast-driven mass production systems. Traditional manufacturing approaches, which primarily rely on large-scale preproduction, have generated persistent challenges, including excess inventory, material waste, longer lead times, and limited responsiveness to rapidly evolving consumer demands. On-demand manufacturing addresses these structural limitations by facilitating production only after demand is confirmed, thereby reshaping the logic of textile and apparel supply chains. This study categorizes on-demand manufacturing systems into five major types: textile on-demand manufacturing at the fiber and fabric stage, print on-demand garment production, mass customization, digital sampling and software-as-a-service platforms, and additive fabric and knitting-based manufacturing. By examining these categories across different stages of the value chain, the study clarifies how digitalization, automation, and data-driven decision-making enable inventory-free or inventory-minimized production while maintaining design flexibility and production efficiency. Drawing on representative global and domestic industry cases, this study illustrates how on-demand manufacturing is implemented through digital textile printing, 3D knitting, microfactory-based production, and integrated digital design workflows. These cases demonstrate the potential of on-demand systems to shortening lead times, reducing production waste, and supporting localized manufacturing models aligned with sustainability goals. The findings suggest that on-demand manufacturing represents a structural transformation rather than a simple technological upgrade. By integrating Textile 4.0 technologies such as artificial intelligence, internet of things, and digital simulation, on-demand manufacturing provides a viable pathway toward a more flexible, resilient, and sustainable textile and apparel industry.

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