Conference Agenda

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Session Overview
Session
Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing
Time:
Monday, 06/Sept/2021:
11:00am - 1:00pm

Session Chair: Sébastien Thomassey
Session Chair: Minh Tam Tran
Virtual location: Monday Room 1

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Presentations
ID: 390 / AIB: 1
Special session: Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing
Keywords: Demand-Driven Manufacturing, Sales forecasting, Demand forecasting, Historical sales correction

Long term demand forecasting system for demand driven manufacturing

Rita Sleiman, Kim-Phuc Tran, Sébastien Thomassey

Univ. Lille, ENSAIT, GEMTEX, France



ID: 528 / AIB: 2
Special session: Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing
Keywords: Anomalies Detection, Outliers, Autoencoder, Variational Autoencoder, One Class Classification, Credit Card Fraud

Data-driven approach for Credit Card FraudDetection with Autoencoder and One-ClassClassification techniques

Abdoul-Fatao Ouedraogo1, Cédric Heuchenne2,1, Quoc-Thông Nguyen3, Hien Tran1

1Institute of Artificial Intelligence and Data Science, Dong A University, Da Nang, Vietnam; 2HEC Management School, University of Liège, Liège 4000, Belgium; 3Université de Lille, ENSAIT, GEMTEX, F-59000 Lille, France



ID: 462 / AIB: 3
Special session: Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing
Keywords: Web-based application, multi criteria supplier selection, on-demand production

FBD_Bmodel Digital Platform: a web-based application for demand driven fashion supply chain

Sébastien Thomassey, Xianyi Zeng1

GEMTEX / ENSAIT, France



ID: 282 / AIB: 4
Special session: Machine Learning and Data-driven Production Management
Keywords: Artificial Intelligence, Goods Tracking, Machine Learning, Supply Chain Network.

Goods and Activities Tracking Through Supply Chain Network Using Machine Learning Models

Lahcen Tamym1, Ahmed Nait Sidi Moh2, Lyes Benyoucef3, Moulay Driss El Ouadghiri1

1Moulay Ismail University, IA Laboratory, Meknes, Morocco; 2Picardie Jules Verne University (PJVU), LTI Laboratory, Saint Quentin, France; 3Aix-Marseille University, University of Toulon, CNRS, LIS, Marseille, France



ID: 572 / AIB: 5
Special session: Optimization of reverse logistics systems based on artificial intelligence
Keywords: Reverse supply chain, Disassembly-to-order, Stochastic disassembly lead time.

A model for a multi-level disassembly system under random disassembly lead times

Ilhem SLAMA1, Oussama Ben-Ammar2, Alexandre Dolgui3

1IMT Atlantique, France; 2Mines Saint-Etienne, France; 3IMT Atlantique, France



 
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