Grant: Collaborative Research and Development Grants
Concordia University
$38,042.00
Reinforcement learning and optimization for mass customization of embroidery
FY 2017-18
Summary
The objective is to demonstrate applications of machine learning and operations research in the fashion industry. In particular, we solve a problem of mass customization by automatically generating the embroidery machine instructions from images uploaded by customers. Traditionally, these instructions are painstakingly created by trained workers using specialized software. The machine instructions are fed to embroidery machines to create embroideries on selected garments. The proposed system will be the first of its kind to automate the process. Our solution approach uses algorithms for neuro-dynamic programming and traveling salesman problems with clusters.
Program
Collaborative Research and Development Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
509935-2017
Name nom
Yu, JiaYuan
Department département
Concordia Institute for Information Systems Engineering (CIISE)
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
38042
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2956
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Optimisation and optimal control theory
Research subject fr
Optimisation et théories de commande optimale
Partie
1
Nb partie
2
Application title
Reinforcement learning and optimization for mass customization of embroidery
Keyword
NSERC
Application summary
The objective is to demonstrate applications of machine learning and operations research in the fashion industry. In particular, we solve a problem of mass customization by automatically generating the embroidery machine instructions from images uploaded by customers. Traditionally, these instructions are painstakingly created by trained workers using specialized software. The machine instructions are fed to embroidery machines to create embroideries on selected garments. The proposed system will be the first of its kind to automate the process. Our solution approach uses algorithms for neuro-dynamic programming and traveling salesman problems with clusters.
