Intelligent Process Quality Management for Supporting Collaboration of Mold Manufacturing SMEs
Siku Kim, Kwangyeol Ryu · Procedia Manufacturing · 2020
A mold is based on a core root technology for shaping materials into parts or products, and the mold industry is an essential production-based industrial field for mass production of various products. In Korea, most of mold manufacturing companies are small and medium-sized companies, and therefore, it is necessary to establish and use a collaboration system among companies to improve mold quality while reducing costs and delivery time. The collaboration system, based on core technologies of the 4th Industrial Revolution such as Artificial Intelligence (AI), Internet-of-things (IoT), and big data, is expected to have a high impact on the competitiveness of the mold industry in terms of quality, cost, and delivery. It is also essential to introduce data collection and analysis technologies that consider collaborative process characteristics throughout the mold production. The intelligent process quality management proposed in this paper is defined by an AI-based statistical analysis technique and consists of process quality management module and operational scenario design. It is expected that the proposed process quality management will enhance competitiveness of the mold industry and facilitate innovation in value chains by maximizing the use of field information for corporate collaboration.