Linking data science to lean production: a model to support lean practices

The literature discusses data science (DS) as a very promising set of techniques and tools to support lean production (LP) practices. DS could aid manufacturing companies in transforming massive real-time into meaningful knowledge, increasing process transparency product quality information supporting improvement activities through data-driven decision-making. However, no attempt has been made the formalise links between LP Thus, this study aims overcome gap by clarifying that can practices how apply them. This employs quantitative bibliometric method – specifically, keyword co-occurrence network analysis on papers extracted from Scopus. results obtained allowed researchers identify develop model guide their implementation based typical stages plan-do-check-act cycle. shows use for: identifying areas for subsequent (plan); enabling better knowledge management (do); identifying/predicting potential problems employing statistical control (check); providing remedial actions effectively applying (act).