The widespread adoption of automated equipment has introduced new demands for talent development in the packaging industry. The operation of two-fold machines is relatively straightforward, typically requiring only 1–2 weeks of basic training for proficiency. Operators primarily need to master fundamental parameter settings, routine cleaning and maintenance, and simple troubleshooting. This low barrier to entry enables two-fold machines to maintain stable operation even in regions with high labor turnover. However, as technology advances, even operators of two-fold machines must acquire basic automation concepts and quality management knowledge.

Three-fold machines impose higher requirements on operation and maintenance personnel. Operators must not only master equipment operation but also understand the relationship between product characteristics and folding parameters, enabling them to adjust device settings based on material variations. Maintenance personnel, on the other hand, need expertise in mechanical transmission, pneumatic systems, and basic electrical knowledge. A typical training period spans 1–2 months, encompassing both theoretical learning and practical operations. Many enterprises establish a three-tier maintenance system: daily inspections by operators, regular maintenance by technicians, and specialized technical support from suppliers—ensuring stable equipment operation.

Operating and maintaining four-fold machines require interdisciplinary expertise. Operators must be proficient in human-machine interface programming, vision system calibration, and multi-axis synchronization principles, while maintenance personnel need advanced skills such as servo control, bus communication, and sensor technology. Training periods typically last 3–6 months, with continuous knowledge updates required to keep pace with technological advancements. Leading enterprises leverage "digital twin" technology for virtual training, reducing risks associated with on-device training, while establishing knowledge management systems to transform expert experience into standardized operating procedures.

Technical inheritance faces intergenerational challenges. Experienced operation and maintenance personnel are gradually retiring, while younger generations show less interest in traditional machinery. Solutions include: establishing standardized training systems to reduce reliance on individual experience; developing augmented reality assistance systems to provide real-time operational guidance; and creating online knowledge communities to facilitate experience sharing. As equipment becomes increasingly intelligent, future operation and maintenance will likely focus more on data analysis and system optimization rather than traditional mechanical repair skills.