The integration of machine learning to streamline manufacturing and improve quality assurance

The market for consumer-oriented products is becoming increasingly competitive. To maintain or gain market share, manufacturers are under pressure to improve quality and reduce costs. Social and political factors increase product life cycles and encourage manufacturers to pay more attention to the whole production process. It becomes increasingly common to integrate certain processes of manufacturing automation to respond to more and more sophisticated requests, such as flexible and versatile production at high-quality coordination of design, quality assurance, and production planning. In modern production and business control, the drivers towards greater competitiveness are considered global and adaptive supply chain management.