Trustworthy and Explainable Decision-Making for Workforce allocation
Abstract
In industrial contexts, effective workforce allocation is crucial for operational efficiency. This paper presents an ongoing project focused on developing a decision-making tool designed for workforce allocation, emphasising the explainability to enhance its trustworthiness. Our objective is to create a system that not only optimises the allocation of teams to scheduled tasks but also provides clear, understandable explanations for its decisions, particularly in cases where the problem is infeasible. By incorporating human-in-the-loop mechanisms, the tool aims to enhance user trust and facilitate interactive conflict resolution. We implemented our approach on a prototype tool/digital demonstrator intended to be evaluated on a real industrial scenario both in terms of performance and user acceptability.
Cite
@article{arxiv.2412.10272,
title = {Trustworthy and Explainable Decision-Making for Workforce allocation},
author = {Guillaume Povéda and Ryma Boumazouza and Andreas Strahl and Mark Hall and Santiago Quintana-Amate and Nahum Alvarez and Ignace Bleukx and Dimos Tsouros and Hélène Verhaeghe and Tias Guns},
journal= {arXiv preprint arXiv:2412.10272},
year = {2024}
}
Comments
Accepted for presentation at PTHG-24: The Seventh Workshop on Progress Towards the Holy Grail, part of the 30th International Conference on Principles and Practice of Constraint Programming. For more details, visit the workshop webpage: https://freuder.wordpress.com/progress-towards-the-holy-grail-workshops/pthg-24-the-seventh-workshop-on-progress-towards-the-holy-grail/