Which of the following is a common feature of a smart factory?

A smart factory is characterized by the integration of advanced technologies aimed at optimizing production processes and enhancing efficiency. One of the core features of a smart factory is real-time monitoring and machine learning capabilities.

Real-time monitoring allows for immediate visibility into the manufacturing processes, enabling factory operators to track performance metrics, equipment status, and overall operational efficiency. This immediacy helps in identifying potential issues before they escalate into significant problems, thus minimizing downtime and increasing productivity.

Machine learning enhances these operations by analyzing vast amounts of data collected in real time to predict maintenance needs, optimize production schedules, and improve quality control. With these technologies, smart factories can respond dynamically to changes in production demands, automate complex tasks, and streamline decision-making processes.

In contrast, manual tracking of inventory is inefficient and does not align with the goals of a smart factory, which aims for automation and connectivity. Reduced employee training requirements may arise from the implementation of user-friendly technology, but it is not a defining feature of smart factories. Likewise, having an exclusive focus on human labor does not leverage the benefits of automation and technology integration, which are central to the smart factory concept.