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A Knowledge-based business model for small series fashion products by integrating customized innovative services in big data environment (Fashion Big Data Business Model)

Livrables

Publications

A data-driven intelligent approach for generating garment ease using factor analysis-based multilayer perceptron neural networks

Auteurs: Z. Wang, J. Wang, Y. Xing, X. Zeng, P. Bruniaux, C. Chi and M. Zhang
Publié dans: FLINS2020 – The 14th International FLINS Conference on Development of Artificial Intelligence Technology, 2020
Éditeur: World Scientific

From big data mining to building of innovative business models in classical industries: a case study of fashion/textile supply chain

Auteurs: X. Zeng
Publié dans: ISSAT International Conference on Data Science in Business, Finance and Industry, 2019
Éditeur: University of Da Nang

Supplier Prediction in Fashion Industry Using Data Mining Technology

Auteurs: N. Harale, S. Thomassey, X. Zeng
Publié dans: IESM2019 – Internationl Conference on Industrial Engineering and Systems Management, 2019
Éditeur: University of Paris-Est

Supplier selection in data-driven fashion industry by using MCDM methods

Auteurs: N. Harale, S. Thomassey, X. Zeng
Publié dans: 25th International Conference on Multiple Criteria Decision Making, 2019
Éditeur: Istanbul Technical University

Garment fashion recommendation system for customized garment

Auteurs: S. Sharma, L. Koehl, P. Bruniaux, X. Zeng
Publié dans: IESM2019 – Internationl Conference on Industrial Engineering and Systems Management, 2019
Éditeur: University of Paris-Est

Customized garment fashion recommendation system using data mining techniques

Auteurs: S. Sharma, L. Koehl, P. Bruniaux, X. Zeng
Publié dans: CSEIT 2019 – 6th International Conference on Computer Science, Engineering and Information Technology, 2019
Éditeur: International Journal of Business Information Systems Strategies (IJBISS)

Parametric design of garment pattern based on body dimensions

Auteurs: Kaixuan Liu, Chun Zhu, Xuyuan Tao, Pascal Bruniaux, Xianyi Zeng
Publié dans: International Journal of Industrial Ergonomics, Numéro 72, 2019, Page(s) 212-221, ISSN 0169-8141
Éditeur: Elsevier BV
DOI: 10.1016/j.ergon.2019.05.012

Prediction of garment fit level in 3D virtual environment based on artificial neural networks

Auteurs: Zhujun Wang, Jianping Wang, Xianyi Zeng, Shukla Sharma, Yingmei Xing, Shuo Xu, Li Liu
Publié dans: Textile Research Journal, 2021, Page(s) 004051752098752, ISSN 0040-5175
Éditeur: SAGE Publications
DOI: 10.1177/0040517520987520

An interactive knowledge-based recommender system for fashion product design in the big data environment

Auteurs: Min Dong, Xianyi Zeng, Ludovic Koehl, Junjie Zhang
Publié dans: Information Sciences, Numéro 540, 2020, Page(s) 469-488, ISSN 0020-0255
Éditeur: Elsevier BV
DOI: 10.1016/j.ins.2020.05.094

Implementation of a garment and fashion interactive design system towards co-design platform shared with consumers designers and manufacturers Implementation of a garment and fashion interactive design system towards co-design platform shared with consumers designers and manufacturers

Auteurs: S. Sharma
Publié dans: Doctoral thesis at Centrale Lille, 2020
Éditeur: Centrale Lille

Development of the Supply Chain and Production Management System (SCPMS) for small series garments and textile products

Auteurs: N. Harale
Publié dans: Doctoral thesis at Centrale Lille, 2020
Éditeur: Centrale Lille

Neue Szenarien der Wertschöpfung für Geschäftsmodelle in der Textilwirtschaft

Auteurs: Marcus Winkler, Dieter Stellmach, Meike Tilebein
Publié dans: Logistik im Wandel der Zeit – Von der Produktionssteuerung zu vernetzten Supply Chains - Festschrift für Wolfgang Kersten zum 60. Geburtstag, Numéro 01.04.2019, 2019, Page(s) 601-626, ISBN 978-3-658-25411-7
Éditeur: Springer Fachmedien Wiesbaden
DOI: 10.1007/978-3-658-25412-4_28

Supply network configuration for small series, high-cost production: Exploring the European textile and apparel industry context

Auteurs: Sara Harper
Publié dans: Skrifter från Högskolan i Borås, ISSN 0280-381X, 2020
Éditeur: Swedish School of Textiles, University of Borås

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