用论证框架提升员工调度的可解释性与适应性
Argumentation for Explainable Workforce Optimisation (with Appendix)
- 将调度问题建模为抽象论证系统，支持动态变更
- 用户实验证明决策速度与准确率显著优于传统方法
- 适合需要透明决策过程的工业调度场景
员工调度是涉及优化团队完成任务所需工期和行程距离的复杂问题，需在执行过程中应对变化并为所有利益相关方提供解释。本文提出将员工调度建模为工业应用中的抽象论证问题，实现对变更的灵活响应，并生成可信解释。通过用户研究验证，该工具及解释机制使问题求解速度更快、准确性更高，显著优于传统手动方式。
原文摘要 · Abstract (English)
Workforce management is a complex problem involving the optimisation of the makespan and travel distance required for a team of operators to complete a set of jobs, using a set of instruments. A crucial challenge in workforce management is accommodating changes at execution time so that explanations are provided to all stakeholders involved. Here, we show that, by understanding workforce management as abstract argumentation in an industrial application, we can accommodate change and obtain faithful explanations. We show, with a user study, that our tool and explanations lead to faster and more accurate problem solving than conventional manual approaches.
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