Track: Engineering Education

Abstract

Manufacturing system research and education have been struggling to catch up with the digital transformation movement. The manufacturing system becomes very complex with the incorporation of IoT, artificial intelligence, additive manufacturing, and data analytics. This gap is due to the outdated manufacturing curriculum and the limited experimental model in laboratories. The Institut Teknologi Harapan Bangsa has been progressively building a flexible manufacturing system model that consists of CNC machines, automated material handlings systems, and connected manufacturing execution systems to accommodate research and education. This particular study discusses the design of a stacker crane model controlled by an embedded single board and a quality control system with artificial intelligence. Our experimental investigation shows that the model enables students and faculties to perform more research and studies on a complex manufacturing system.