SPC-based model for evaluation of training processes in industrial context

Purpose: This article aims to present successful practices in the management of training processes based on virtual reality and augmented reality, namely a strategy for evaluating process with principle continuous improvement mind, monitoring its performance terms productivity waste levels. It is proposed apply Statistical Process Control (SPC) tools develop control charts individual events (i-charts).Design/methodology/approach: The methodology case study developed an industrial project guided by literature review Work-Based Learning (WBL) SPC.Findings: work shows that SPC are suitable supporting decision making situations where data be analyzed generated human-computer interactions, e.g., involving students learning environments.Originality/value: innovative aspect presented lies evaluation effectiveness pedagogical resources arranged simulation environments reality. accumulated knowledge about application service areas, others demand analysis, reinforces hypothesis suitability presented. original SPC, normally used business quality control, but which this applied way processes, same spirit it was designed, i.e. provide means manage process.