PRODUCTION MONITORING SYSTEM WITH PREDICTIVE FUNCTIONALITY

Abstract

The main objective of the current study is to analyse and develop production monitoring system (PMS) for small and medium enterprises (SME) with predictive functionality. The development of planned PMS covers design of hardware architecture, building data analysis and prediction tools. New tool wear forecast model has been developed. The proposed model extends traditional widely used models by introducing the effects of working regimes and multiple passes on tool/component wear.

Keywords

• Artificial neural network
• Manufacturing execution system
• Predictive functionality
• Production monitoring system.