Towards a Smart Combination of Human and Artificial Intelligence for Manufacturing

Abstract

The manufacturing industry is evolving toward more automation and digitization. This includes collecting data from sensors, machines, and software used on the shop floor. Human workers and their strengths and needs are still essential, as recognized by the Industry 5.0 vision. This vision is still abstract, and concepts like human-centricity, digital twin, and production intelligence are still semantically ill-defined to be mapped directly, given the complexity of manufacturing environments. In this paper, we center on the quality management process of Failure Mode and Effects Analysis (FMEA) to propose terminology and a framework to reflect on potential solutions in Industry 5.0. We explore the integration of human and artificial intelligence to create a continuous and actioning quality management process that extends the capabilities of the current process FMEA.