MES-integrated digital twin frameworks

doi:10.1016/j.jmsy.2020.05.007

MES-integrated digital twin frameworks

2020-07-01

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DOI：10.1016/j.jmsy.2020.05.007

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Industry 4.0-based manufacturing systems are equipped with Cyber-Physical Systems that are characterized by a strong interlinkage between the real world and the digital one: actions in one world have an impact on the other. In this paradigm, Digital Twins (DT) are defined as simulation models that are both getting data from the field and triggering actions on the physical equipment. However, most of the claimed DT in literature are only replicating the real system in a synchronized fashion, without feeding back actions on the control system of the equipment. In literature, these are referred to as Digital Shadows (DS). The paper proposes a way to integrate a DS simulation model with the Manufacturing Execution System (MES) in this way creating a DT. The MES-integrated DT is used for decision making thanks to the presence of an intelligence layer that hosts the rules and the knowledge to choose among alternatives. The paper proposes two frameworks based on the MES-integrated DT: one for managing error states and one for triggering disassembly processes as a consequence of low assembly quality. The DT simulation is developed and integrated with the MES of the Industry 4.0 Laboratory at the School of Management of Politecnico di Milano, where the proposed frameworks have been tested and validated.

Keywords:

Manufacturing execution system (MES)

Cyber physical systems (CPS)

Digital twin

Industry 4.0

Intelligence layer

Error States detection

MES-integrated digital twin frameworks

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