사이버-물리 제조시스템의 지능적 의사결정을 위한 데이터 및 모델 연계 홀로닉 구조 개발

Abstract

In manufacturing industries, the intelligence, autonomy and interconnectivity of manufacturing objects, and the adaptiveness in dynamic changes have been recognized as desirable objectives; however, they were hard to implement. Recently, the convergence of the advances in information and communication technology is making it possible to implement those objectives, called Smart Manufacturing (SM). Of these SM technologies, Cyber-Physical Production Systems (CPPS) will be considerably one of the most-advanced technologies because CPPS envisions dynamic and autonomous capabilities through mirroring physical and their cyber manufacturing objects in real-time. These capabilities match with the aim of Holonic Manufacturing Systems (HMS) in terms of autonomy and cooperation, thereby making HMS re-highlighted as a control architecture of CPPS. This paper presents the development of a data and model-interconnected holonic control architecture that especially considers the synchronization with a big data infrastructure and a data analytics environment. The present work aims at providing : 1) a predictive process-planning mechanism with the connection of manufacturing data and decision-making models, and 2) a systems integration environment for opening the information about intelligent manufacturing objects. The goals of the present work are to increase intelligence and interconnection, which are the major performances pursued by CPPS.