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.

翻译：在工业环境中，有效的劳动力分配对运营效率至关重要。本文介绍了一个持续进行的研究项目，该项目专注于开发一种专为劳动力分配设计的决策工具，并通过强调可解释性来增强其可信度。我们的目标是创建一个系统，该系统不仅能优化团队对预定任务的分配，还能为其决策提供清晰易懂的解释，特别是在问题不可行的情况下。通过引入人在回路机制，该工具旨在增强用户信任并促进交互式冲突解决。我们在一个原型工具/数字演示器上实现了该方法，计划在真实工业场景中对其性能和用户接受度进行评估。