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Industry Opinion
Automated manufacturing is no longer just a technology experiment, but a critical initiative with a clear business case for manufacturers. It is all about using machines and technology to take the reins on production processes, instead of relying solely on human labor.
There are different levels of automation, from fixed systems designed for a single product to flexible systems that can be programmed for different tasks. Fully automated factories can theoretically run with minimal human intervention, though there will still be people needed for maintenance and overseeing the whole operation. Automated machines require fewer manual staffers but do require higher-skilled and higher-paid professionals to program and efficiently operate them.
The main goals of automation in manufacturing are to: • Boost efficiency and production rates: By automating repetitive tasks, manufacturers can quickly churn out products.• Reduce errors: Machines are great at following instructions precisely, which can significantly reduce errors caused by human fatigue or mistakes.• Improve safety: Automating dangerous tasks keeps human workers out of harm's way.
Artificial intelligence (AI): AI can automate tasks, make predictions, and improve decision-making.
For example, AI can predict when a machine is likely to fail so that it can be repaired or replaced before it causes a production stoppage.
Digital twins: A digital twin is a virtual model of a physical product or process. Digital twins can be used to simulate the behavior of a product or process in the real world. This can be used to optimize design, improve production planning, and troubleshoot problems.
The automated manufacturing concept has reached a level of technological maturity, with proven case studies illustrating its benefits.
