Achieving Zero Defected Products in Diary 4.0 using Digital Twin and Machine Vision
Fotios K. Konstantinidis, Vasiliki Balaska, Symeon Symeonidis, Foivos Psarommatis, Athanasios Psomoulis, Georgios Giakos, Spyridon G. Mouroutsos, Αντώνιος Γαστεράτος
Abstract
The digitalization of traditional industrial processes has profoundly influenced every step of the manufacturing value chain during the past two decades, having as its main goal to achieve zero-defected products. Moreover, since dairy production is at the heart of food industry, it is critical to leverage innovative technologies to increase their efficiency and continuously meet the demanding standards from the farm level to market and reduce the amount of waste. Towards this end, we propose a Dairy 4.0 architecture capable of utilising information to detect and prevent flaws to the final dairy products. The architecture layers are based on machine vision and the digital twins technologies, while it respects the zero defect manufacturing (ZDM) approach. The proposed frameworks is structured on a four layer architecture: (i) the physical layer, which consists of dairy farming, dairy production, and dairy storage and logistics, (ii) the acquisition layer that is responsible for collecting contextual information, (iii) the digital twin layer which uses data from the vision system and the physical system to anticipate future occurrences, and finally (iv) the ZDM layer, which functions as an orchestrator and binding agent for all the processed data.