Design and Product Development

Generative Pants Pattern Making for Optimized Fit in Mass Customization

Authors
  • Jeyeon Jo (Cornell University)
  • Fatma Baytar (Cornell University)

Abstract

Mass customization, customizing garment fit and design based on individualized needs of consumers, has been proposed as a solution to satisfy the highly segmented and diversified market. As one formula cannot accommodate all the body types, even parametric pattern-making systems require iterations of additional input from skillful pattern makers with tacit knowledge and feedback from customers. Generative design automates the iterative process. Once an initial input and goals are set, the algorithm generates multiple design variations, evaluates them, chooses the best one, and creates the next generation again. The current study introduces a generative design algorithm to automatically generate a tight-fitting pant pattern for any given 3D body. The result was compared with another pattern drafted by conventional methods in virtual and real fit sessions. 

Keywords: Generative Design, Mass customization, Pattern automation, Pants

How to Cite:

Jo, J. & Baytar, F., (2022) “Generative Pants Pattern Making for Optimized Fit in Mass Customization”, International Textile and Apparel Association Annual Conference Proceedings 79(1). doi: https://doi.org/10.31274/itaa.15779

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Published on
31 Dec 2022
Peer Reviewed