FBD_Bmodel Digital Platform: A Web-Based Application for Demand Driven Fashion Supply Chain

Thomassey, Sebastien; Zeng, Xianyi

Document type :

Communication dans un congrès avec actes

DOI :

10.1007/978-3-030-85874-2_3

Permalink :

http://hdl.handle.net/20.500.12210/84939

Title :

FBD_Bmodel Digital Platform: A Web-Based Application for Demand Driven Fashion Supply Chain

Author(s) :

Thomassey, Sebastien [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
École nationale supérieure des arts et industries textiles [ENSAIT]
Zeng, Xianyi [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
École nationale supérieure des arts et industries textiles [ENSAIT]

Conference title :

Advances in Production Management Systems

City :

Nantes

Country :

France

Start date of the conference :

2021-09-05

Book title :

IFIP Advances in Information and Communication Technology

Journal title :

Abbreviated title :

Publisher :

Springer Link

Publication date :

2021-11-24

ISSN :

1868-4238

English keyword(s) :

Web-based application
Multi criteria supplier selection
On-demand production planning

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

The new consumption behaviors and environmental awareness are pushing the textile apparel industry to profound transformations. Co-design and production on demand are two success factors for this paradigm shift but require ...
Show more >The new consumption behaviors and environmental awareness are pushing the textile apparel industry to profound transformations. Co-design and production on demand are two success factors for this paradigm shift but require efficient and practical tools for companies. In this context, the European H2020 FBD_BModel project provides to practitioner a suitable digital platform. More specifically for the supply chain management, efficient and well-known algorithms are implemented in an user-friendly web-based application composed of two modules. The first module aims at selecting suppliers with multi criteria decision making techniques. This is particularly important to deal with a huge variety of products and a large number of small factories with their own features. The second modules proposed a genetic algorithm-based optimization for order scheduling and supplier allocation. In a demand driven strategy, this task is crucial to reach the requirements in terms of cost and lead time. This paper provides a brief description of the methods implemented in the web-based application. A numerical example, based on real data of the industrial partners of the FBD_Bmodel project, shows the results obtained with the proposed solution.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

Génie des matériaux textiles (GEMTEX) - ULR 2641

Submission date :

2023-06-20T11:56:17Z
2024-03-25T09:53:37Z
2024-03-25T11:46:20Z

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Version	Link	Modification date
3	20.500.12210/84939*	2024-03-25T11:43:04Z
2	20.500.12210/84939.2	2024-03-25T09:48:00Z
1	20.500.12210/84939.1	2023-06-20T11:56:17Z

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