How Product Catalog Management Supports Circular Supply Chains in Manufacturing
Most ERP and PLM systems track products only through production and sale, not reuse, refurbishment, or recycling. This fragmentation causes material loss, inefficient remanufacturing, slow reverse logistics, and compliance failures.
Modernizing Capital-Intensive Industries with a Digital Thread
Embracing the idea of a consistent source of information, in context, for all stakeholders, often referred to as a "digital thread," can significantly streamline processes, enhance collaboration, and drive efficiency.
PLM-Based Engineering
Today, engineers have a lot more control over the direction of their products, and PLM is where they reflect these decisions. PLM is the only data repository where someone can get a holistic view of the entire product and its history of changes.
Challenges of PLM Integration
Time to market and innovation issues are only two examples from the long list of the most common challenges even the top manufacturers face. In an effort to solve their problems and optimize their business processes, most manufacturers turn to tailored PLM solutions nowadays.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
