Trustworthy and Explainable Decision-Making for Workforce allocation
This addresses the need for trustworthy and explainable workforce allocation tools for industrial managers, but it appears incremental as it builds on existing decision-making and explainability concepts.
The paper tackles the problem of workforce allocation in industrial settings by developing a decision-making tool that optimizes team assignments to tasks and provides explanations for its decisions, particularly when infeasible, with evaluation planned on a real industrial scenario for performance and user acceptability.
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.