Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning

arXiv:2406.12732v1 Announce Type: cross
Abstract: New technologies such as Machine Learning (ML) gave great potential for evaluating industry workflows and automatically generating key performance indicators (KPIs). However, despite established standards for measuring the efficiency of industrial machinery, there is no precise equivalent for workers' productivity, which would be highly desirable given the lack of a skilled workforce for the next generation of industry workflows. Therefore, an ML solution combining data from manufacturing processes and workers' performance for that goal is …

abstract arxiv cs.ai cs.lg efficiency explainable machine learning however industrial industry insights key key performance indicators kpis machine machine learning measuring performance potential productivity standards technologies type workers workflows