Digital Workers in Cyber–Physical–Social Systems for PCB Manufacturing

With the rapid development of smart manufacturing technologies, machines as primary productivity have come into intelligent era. In current industrialization, workers play an significant role in PCB manufacturing and gradually become the bottleneck of the whole manufacturing process. However, the workers in factories have been ignored for a long time. There are not any intelligent method to organize, coordinate and manage them efficiently. In this paper, based on CPSS and ACP theory, we propose a digital worker system to facilitate biological workers to perform human resource management, largely reducing workload, improving working performance, and taking care of physical and mental health of human workers. In this CPSS system, we leverage ACP method to construct a super brain between digital workers, implementing descriptive intelligence, predictive intelligence, and prescriptive intelligence, thus providing personal guidance and management strategies for each biological worker. Consequently we could relieve job burnout and reduce turnover rate for PCB manufacturers.