Mass production of digital garments using multi‐option data structure

Purpose The purpose of this paper is to facilitate the digital garment production process using a multi‐option garment data structure. Design/methodology/approach Numerous garments can be generated out of a single garment datum by combining various fashion features, size grades, fabric physical properties, and surface texture maps. Findings It is found that various digital garments which are required, for example, by online fashion businesses can be prepared in a relatively simple way. Research limitations/implications The size of each pattern on a garment can be changed by grading process and therefore a full‐texture mapping technique cannot be applied. Practical implications This method can greatly reduce the time required to prepare the digital garments, for either online or offline fashion businesses. Originality/value The generation of various digital garments by combining multiple fashion features and physical properties is one of the most important features needed for the practical application of drape simulation in the fashion business.