
APMS 2021
International Conference Advances in Production Management Systems
September 5-9, 2021 | Nantes, France
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).
|
Session Overview |
Session | ||
Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability
| ||
External Resource: | ||
Presentations | ||
ID: 459
/ DPA: 1
Special track: Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability Keywords: Smart Production Logistics, Adaptive Scheduling, Machine Learning Applying Machine Learning for Adaptive Scheduling and Execution of Material Handling in Smart Production Logistics KTH Royal Institute of Technology, Sweden ID: 428
/ DPA: 2
Special track: Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability Keywords: Digital Twin-based Services, Sustainability, Smart Production Logistics Exploring Economic, Environmental, and Social Sustainability Impact of Digital Twin-based Services for Smart Production Logistics 1Sungkyunkwan University, South Korea; 2KTH Royal Institute of Technology, Sweden ID: 328
/ DPA: 3
Special track: Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability Keywords: Cyber-Physical System (CPS), CPS-based platform, Digital twin, Information model, Smart manufacturing Design and Implementation of Digital Twin-Based Application for Global Manufacturing Enterprises 1Sungkyunkwan University, Korea, Republic of (South Korea); 2Advanced Institutes of Convergence Technology, Korea, Republic of (South Korea); 3Yura, Korea, Republic of (South Korea); 4DEXTA Inc., Korea, Republic of (South Korea) ID: 116
/ DPA: 4
Special track: Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability Keywords: Assembly line balancing problem, Worker skill level, Positional constraints, Digital twin Assembly line worker assignment and balancing problem with positional constraints KAIST, Korea, Republic of (South Korea) ID: 563
/ DPA: 5
Special track: Human-centered Artificial Intelligence in Smart Manufacturing for the Operator 4.0 Keywords: Industry 4.0, Softbots, Digital Twin, Cognitive Operator 4.0 When Softbots meet Digital Twins: Towards Supporting the Cognitive Operator 4.0 1Federal University of Santa Catarina, Brazil; 2Tecnológico de Monterrey, Mexico; 3University of Southern Santa Catarina, Brazil |