Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
AT Wasi, MD Islam, AR Akib, MM Bappy - arxiv preprint arxiv:2411.08550, 2024 - arxiv.org
Graph Neural Networks (GNNs) have recently gained traction in transportation,
bioinformatics, language and image processing, but research on their application to supply …
bioinformatics, language and image processing, but research on their application to supply …
Analysis of balancing solutions for simple assembly lines
Purpose: Assembly Line Balancing (ALB) is critical to manufacturing efficiency and
productivity. It involves assigning tasks to workstations to optimise performance while …
productivity. It involves assigning tasks to workstations to optimise performance while …
Hybrid intelligence–systematic approach and framework to determine the level of Human-AI collaboration for production management use cases
CR Sauer, P Burggräf - Production Engineering, 2024 - Springer
Artificial intelligence (AI) and machine learning (ML) have emerged as transformative
technologies in production management, enhancing decision-making and operational …
technologies in production management, enhancing decision-making and operational …