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Manufacturers must shift from reactive to strategic supply chain management, adopting key tactics for supplier diversification, risk mitigation, and resilience-building.

SimScale's 2026 report reveals AI-powered engineering teams explore 4x more designs, complete simulations 2.8x faster, and are scaling beyond experimentation.

Successful tech adoption requires more than new tools; it demands systems thinking. Learn why organizational change is just as important to drive real results.

Digital technologies like predictive maintenance and AI are driving manufacturers to be more sustainable due to benefits like reduced waste and lower energy usage.

Though AI software has transformed desk jobs, it has yet to extend to the factory floor, which is necessary for manufacturers to realize the full potential of AI.

AI delivers measurable gains in manufacturing through predictive maintenance, quality control, and adaptive scheduling, helping boost efficiency and resilience.

For IoT implementations, manufacturers should first identify business problems and then determine how IoT can solve them. The key is to start simple and scale up.

When modernizing operations, manufacturers should start with their quality department. This allows companies to scale upgrades with minimal disruption to operations.

Manufacturers can leverage current industrial robot infrastructure to improve physical security, freeing up time to create a more dedicated cybersecurity framework.

Manufacturing execution systems enable industrial companies to integrate disparate data sources, eliminating data silos for a more holistic view of operations.