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digital transformation – not simply connecting machines on the factory floor but connecting manufacturing intelligence with engineering decisions long before production begins.
Digital transformation beyond the factory floor
For much of the past decade, digital transformation has been synonymous with connected factories, automation, and realtime production visibility. These technologies have significantly improved operational efficiency. Yet many of the most expensive manufacturing challenges still originate long before a product reaches the production line.
The next phase of digital transformation extends beyond the factory floor and into product development, enabling manufacturing knowledge to influence design decisions. Modern manufacturing environments generate vast amounts of information through inspection stations, manufacturing execution systems, quality management systems, and production workflows. Instead of using this data to understand what happened after a product was built, it is beginning to inform decisions before a product is built.
Artificial Intelligence and predictive analytics make this possible by identifying patterns across historical manufacturing data and correlating them with process capability and design attributes to estimate where manufacturing risks are most likely to occur. For example, if a particular component package, layout design rule, or process capability has consistently contributed to failures across previous products, those insights can be incorporated into future design reviews long before the first prototype is assembled.
Rather than replacing engineering judgment, this approach allows engineering and manufacturing teams to focus their expertise where predicted manufacturing risk is greatest. For OEMs and their manufacturing
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