Textile and Apparel Industries

Optimizing 3D Design Systems for Digital Product Passports and Digital Twins: A Conceptual Framework

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Abstract

This study develops a conceptual framework for evaluating 3D design systems that support Digital Product Passports (DPPs) and Digital Twins (DTs) in the fashion industry. As transparency and sustainability become central to global supply chains, effective DPP and DT implementation relies on accurate virtual modeling and integrated digital workflows. Through a systematic literature review, the study identifies four essential system capabilities—high-fidelity virtual simulation, comprehensive digital resource libraries, seamless supply chain collaboration, and AI-enabled design and marketing support. Building on the Technology Acceptance Model (TAM), the research proposes an extended, three-stage evaluation structure encompassing upstream design functions, midstream integration capabilities, and downstream marketing tools. The framework provides theoretical and practical guidance for selecting and optimizing 3D design systems that enhance lifecycle transparency, improve operational efficiency, and accelerate digital transformation. This work offers a foundation for future empirical validation and industry standard development.  

Keywords: 3D design system; Digital Product Passport (DPP); Digital Twin (DT); Technology Acceptance Model (TAM).

How to Cite:

Zhao, R. & Liu, C., (2025) “Optimizing 3D Design Systems for Digital Product Passports and Digital Twins: A Conceptual Framework”, International Textile and Apparel Association Annual Conference Proceedings 82(1). doi: https://doi.org/10.31274/itaa.21432