Real-time resilient scheduling by digital twin technology in a flow-shop manufacturing system
Agustina Eunike, Kung‐Jeng Wang, Jing‐Ming Chiu, Yuling Hsu
Abstract
The advancement of technology enables the adoption of dynamic scheduling in the flow shop. However, there is a gap in the implementation of flexibility to adjust the production and to process the changes in the environment based on real-time information. This paper presents the digital twin architecture for constructing a decentralized scheduling system that is resilient to shop floor disruptions. The combinational local scheduling and contract net Protocol strategy are developed to perform efficient responsive job production planning. This study begins by introducing the concept of a digital twin for a real-time flow shop assembly system. Second, this paper discusses the use of digital twin models to create communication protocols in the system, as well as local scheduling optimization strategies. Finally, a case study is utilized to verify the effectiveness and feasibility of the proposed strategy