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The Current State of AI in Complex DiscreteManufacturing AI clearly has staying power and will continue to gain momentum as new use cases and applications are discovered. The complex discretemanufacturing industry is already making strides in AI adoption. appeared first on iBase-t.
Cybersecurity, analytics, integrating manufacturingexecutionsystems (MES) and enterpriseresourceplanning (ERP) systems and robotics to combat the labor shortage are among the key trends shaping the industry’s future.
Leveraging Model-Based Enterprise and MES for Superior Manufacturing Outcomes Maintaining quality is non-negotiable in high-complexity manufacturing, especially in sectors like aerospace and defense (A&D). Regulatory requirements mandate a thorough quality approach starting from the production’s onset.
EnterpriseResourcePlanning (ERP) and ManufacturingExecutionSystems (MES) are pivotal technologies for today’s leading manufacturers who are pursuing digital first operations.
Question : How do you address the security risk of enterpriseresourceplanning (ERP) data going through MES to Level 2 to run batches, start production runs, changes grades? Andersen: Please see: “ Modern edge computing accelerates smart manufacturing initiatives for discretemanufacturers.”
Location intelligence in intralogistics: Siemens Location Intelligence software expands the Siemens Simatic RTLS (real-time locating system) locating platform to include the digital twin of performance and warehouse.
Tasks can be manually triggered via a wireless button, tablet or automatically through a programmable logic controller (PLC) or a connection to an upstream enterpriseresourceplanning (ERP) system, manufacturingexecutionsystem (MES) or warehouse management system (WMS) via an applied program interface (API).
Epicor’s flagship EnterpriseResourcePlanning (ERP) software product for the metalworking industry is called Kinetic, a cloud-based ERP solution that offers real time business intelligence and built-in collaboration tools.
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