Application of machine learning and rough set theory in lean maintenance decision support system development

Lean maintenance concept is crucial to increase the reliability and availability of equipment in manufacturing companies. Due elimination losses processes this reduce number unplanned downtime unexpected failures, simultaneously influence a company’s operational economic performance. Despite widespread use lean maintenance, there no structured approach support choice methods tools used for function improvement. Therefore, paper by using machine learning rough set theory new was proposed. This supports decision makers selection effective implementation Maintenance.