A sustainable model based on genetic algorithm for garment redesign process

Manoj Kumar Paras*, Lichuan Wang, Rudrajeet Pal, Daniel Ekwall

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)


This study proposes a garment modularization model based on an interactive genetic algorithm. The suggested model consists of extraction and identification of parts and the determination and implementation of connections. Rules and corresponding mathematical equations have been formulated for the part's extractions from the discarded products and connections for the redesigned products.
Sustainability entices scholars and practitioners while referring to reducing waste to control environmental degradation. One of the ways to safeguard natural resources is to increase the reuse of old or discarded products. The current study focuses on the redesign process to improve the reuse of products.
The intelligent system proposed based on the modularization techniques is expected to simplify and quantify the redesign process. The model can further help in the minimization of wastage and environmental degradation.
Presently, manual decisions are taken by the designers based on their memory, experience and intuition to extract and join the parts.
Original languageEnglish
Peer-reviewed scientific journalJournal of Fashion Marketing and Management
Issue number5
Pages (from-to)870-887
Number of pages18
Publication statusPublished - 2023
MoE publication typeA1 Journal article - refereed


  • 512 Business and Management
  • sustainable design
  • redesign
  • fashion industry
  • heuristic approach
  • mathematical model


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