A Study on the Success Cases about AI RPA (Robotic Process Automation) in Manufacturing Industry

Abstract

The main purpose of this paper is to study success cases about AI RPA (Robotic Process Automation) focus on the manufacturing industry. By implementing robotic process automation (RPA), an artificial intelligence solution at the manufacturing site, differentiation strategies such as maintenance of manufacturing systems, process innovation and efficiency, quality improvement, global collaboration system, and simulation of manufacturing business can be realized. Recently, the introduction of artificial intelligence technology that can reduce the manufacturing cost by building BPA around advanced manufacturing companies has been increasing the success of winter innovation. BPA technology is making use of PLM (Product Lifecycle Management) data at manufacturing sites. Data of PLM System, a framework of manufacturing sites, has integrated data that manages all phases of a product’s entire life cycle, from development ideas to disposal, so that the product’s lifecycle is based on three dimensions. In addition, the design is digitally processed, the prototypes are digitally verified, the production processes and production methods are digitally verified, and monitoring and simulation are supported. We will study how to differentiate the competitiveness of manufacturers through the case of building BPA, an artificial intelligence technology, in the manufacturing field.