Modeling and Implementation of the Affordance-based Human-Machine Collaborative System

Abstract

Modeling and control of human-involved manufacturing systems poses a huge challenge on how to model all possible interactions among system components within the time and space dimensions. As the manufacturing environment are getting complicated, the importance of human in the manufacturing system is getting more and more spotlighted to incorporate the manufacturing flexibility. This paper presents a formal modeling methodology of affordance-based MPSG (Message-based Part State Graph) for a human-machine collaboration system incorporating supervisory control scheme for flexible manufacturing systems in automotive industry. Basically, we intend to extend the existing model of affordance-based MPSG to the real industrial application of humanmachine cooperative environments. The suggested extension with the real industrial example is illustrated in three steps; first, the manufacturing process and relevant data are analyzed in perspectives of MABA-MABA and the supervisory control; second, the manufacturing processes and task allocation between human and machine are mapped onto the concept of MABA-MABA; and the last, the affordance-based MPSG of humanmachine collaboration for the manufacturing process is presented with UMLs for verification. †

An Empirical Analysis of a Process Design Considering Worker's Cognition

“…용이 극대화되도록 하는 인지적 과정을 고려한 제조시스템의 설계가 중요하다 (Oh et al, 2015 (Rasmussen et al, 1994). 감독제어에서의 역설은 자동화 기 술이 보다 복잡성과 정교함을 더할수록, 작업자는 비정상적 상황을 관리하는 보다 복잡한 의사결정에 직면하게 된다는 것 이다.…”