Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Only Sessions at Location/Venue 
 
Session Overview
Session
Regular Session : Simulation and optimization of systems performances
Time:
Wednesday, 08/Sept/2021:
3:00pm - 5:00pm

Session Chair: Alexis Aubry
Session Chair: nasser mebarki
Virtual location: Wednesday Room 5

Show help for 'Increase or decrease the abstract text size'
Presentations
ID: 192 / RS-06: 1
Regular Paper Submission
Data-driven Production Management: Advanced Modelling, Simulation and Data Analytics in Production & Supply Networks, Machine Learning and Artificial Intelligence, Novel Production Planning & Control Approaches
Keywords: Queuing Theory, Multi-fidelity Simulation-based Optimisation, Wafer Fabs, Production Release.

Multi-Fidelity Simulation-Based Optimisation for Large-Scale Production Release Planning in Wafer Fabs

Zhengmin Zhang1, Zailin Guan1, Yeming Gong2, Qian Shen1

1Huazhong University of Science and Technology, Wuhan, China; 2EMLYON Business School, 23 avenue Guy de Collongue, 69134 Ecully cedex, France



ID: 285 / RS-06: 2
Regular Paper Submission
Data-driven Production Management: Advanced Modelling, Simulation and Data Analytics in Production & Supply Networks
Keywords: Port logistics, Capacity analysis, Systems simulation, Data analytics, Bottlenecks

Toward a Simulation Model for Capacity Analysis of a New Port Terminal

Erik Bergeron, Léo Gagnon, Jean-François Audy, Pascal Forget, Amina Lamghari

Université du Québec à Trois-Rivières, Canada



ID: 378 / RS-06: 3
Regular Paper Submission
Data-driven Production Management: Advanced Modelling, Simulation and Data Analytics in Production & Supply Networks, Machine Learning and Artificial Intelligence
Smart Manufacturing & Industry 4.0: Cyber-Physical Production Systems and Digital Twins, Intelligent Maintenance Systems
Keywords: Hybrid model, predictive maintenance, tool condition monitoring, machine learning, milling

Design of a physics-based and data-driven hybrid model for Predictive Maintenance

Emiliano Traini, Giulia Bruno, Franco Lombardi

Politecnico di Torino, Italy



ID: 505 / RS-06: 4
Regular Paper Submission
Digital Supply Networks: Supply Chain Planning and Optimization
Data-driven Production Management: Advanced Modelling, Simulation and Data Analytics in Production & Supply Networks
Smart Manufacturing & Industry 4.0: Advanced, Digital and Smart Manufacturing
Keywords: production system control, bottleneck, solution approach, practical application, industrial case

Dynamic Bottleneck Starvation Control

Gerd Wagenhaus1, Niels Gürke2, Werner Kurt2, Ulf Bergmann1

1Otto-von-Guericke-University, Germany; 2thyssenkrupp Presta Schönebeck GmbH



ID: 607 / RS-06: 5
Regular Paper Submission
Digital Supply Networks: Supply Chain Planning and Optimization
Data-driven Production Management: Advanced Modelling, Simulation and Data Analytics in Production & Supply Networks
Keywords: Pricing models, Data products, Food production, Typology

Pricing models for data products in the industrial food production

Calvin Rix1, Jana Frank1, Volker Stich1, Dennis Urban2

1FIR an der RWTH Aachen, Germany; 2Lindt & Sprüngli Germany GmbH