Trustworthy and Explainable Decision-Making for Workforce allocation
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arXiv
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| Format: | Preprint |
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2024
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| author | Povéda, Guillaume Boumazouza, Ryma Strahl, Andreas Hall, Mark Quintana-Amate, Santiago Alvarez, Nahum Bleukx, Ignace Tsouros, Dimos Verhaeghe, Hélène Guns, Tias |
| author_facet | Povéda, Guillaume Boumazouza, Ryma Strahl, Andreas Hall, Mark Quintana-Amate, Santiago Alvarez, Nahum Bleukx, Ignace Tsouros, Dimos Verhaeghe, Hélène Guns, Tias |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_10272 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Trustworthy and Explainable Decision-Making for Workforce allocation Povéda, Guillaume Boumazouza, Ryma Strahl, Andreas Hall, Mark Quintana-Amate, Santiago Alvarez, Nahum Bleukx, Ignace Tsouros, Dimos Verhaeghe, Hélène Guns, Tias Artificial Intelligence 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. |
| title | Trustworthy and Explainable Decision-Making for Workforce allocation |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2412.10272 |