11 papers
AOC-CBS: Anytime-Optimal Continuous-time Conflict-Based Search for Generalised Multi-Agent Path Finding
Alvin Combrink, Sabino Francesco Roselli, Martin Fabian
Many research fields share a common structure: a set of agents, each pursuing its own goal, whose actions must be coordinated so that no two of them conflict. Multi-Agent Path Find…
Multi-Worker Assembly Line Rebalancing with Relevance-Guided Configuration Preservation
Martina Vinetti, Sabino Roselli, Martin Fabian
In assembly line balancing, tasks are assigned to stations in order to satisfy a required cycle time. When production conditions change, the line must be rebalanced by modifying th…
A Multi-Worker Assembly Line Rebalancing with Spatial and Ergonomic Considerations
Martina Vinetti, Sabino Francesco Roselli, Martin Fabian
This work addresses the Assembly Line Rebalancing Problem driven by cycle-time changes in manual assembly systems where multiple workers operate in parallel within the same station…
Experiments with Optimal Model Trees
Sabino Francesco Roselli, Eibe Frank
Model trees provide an appealing way to perform interpretable machine learning for both classification and regression problems. In contrast to ``classic'' decision trees with const…
Machine Learning-Based Analysis of Critical Process Parameters Influencing Product Quality Defects: A Real-World Case Study in Manufacturing
Sukumaran Rajasekaran, Ebru Turanoglu Bekar, Kanika Gandhi +2
Quality control is an essential operation in manufacturing, ensuring products meet the necessary standards of quality, safety, and reliability. Traditional methods, such as visual…
A General Formulation for the Teaching Assignment Problem: Computational Analysis Over a Real-World Dataset
Moa Johannesson, Lina Brink, Alvin Combrink +2
The Teacher Assignment Problem is a combinatorial optimization problem that involves assigning teachers to courses while guaranteeing that all courses are covered, teachers do not…