A sustainable model based on genetic algorithm for garment redesign process

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

*Motsvarande författare för detta arbete

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

1 Citeringar (Scopus)

Sammanfattning

Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
Presently, manual decisions are taken by the designers based on their memory, experience and intuition to extract and join the parts.
OriginalspråkEngelska
Referentgranskad vetenskaplig tidskriftJournal of Fashion Marketing and Management
Volym27
Nummer5
Sidor (från-till)870-887
Antal sidor18
ISSN1361-2026
DOI
StatusPublicerad - 2023
MoE-publikationstypA1 Originalartikel i en vetenskaplig tidskrift

Nyckelord

  • 512 Företagsekonomi

Fingeravtryck

Fördjupa i forskningsämnen för ”A sustainable model based on genetic algorithm for garment redesign process”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här