Sustainable manufacturing is defined as the production of commercial assets using environmentally, financially and socially friendly methods. In parallel, Industry 4.0 tools, such as digital twins, Internet of Things, are considered key enablers for promoting sustainable manufacturing. Despite the advances in the field, full deployment of sustainable and circular oriented digital tools is still limited. In this study, we aim to present the development of an orchestrator that supports data exchange between different modules and digital twins. The orchestrator developed was responsible for coordinating services and input from the user, regarding the material removal processes, the input from time series database and the engine to calculate energy consumption. The orchestrator was applied in several cases, among which a case of repairing via material removal processes as the coordinator of the physical system while a data-driven digital twin is developed, to simulate the energy consumption during the repair process. The orchestrator enabled the deployment of the digital twin and the interaction with data, promoting thus the simulations performed by the digital twin with the main outcome being the energy consumption of the machining process viewed in a graphical environment. The developed orchestrator was shown to provide a dynamic environment, for near real-time coordination of services, supporting thus sustainability in action.

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Use of an Orchestrator to Deploy Digital Twins for Sustainable Manufacturing Use Cases

  • Vasiliki C. Panagiotopoulou,
  • Christos Giannoulis,
  • Konstantinos Salonitis,
  • Panagiotis Stavropoulos

摘要

Sustainable manufacturing is defined as the production of commercial assets using environmentally, financially and socially friendly methods. In parallel, Industry 4.0 tools, such as digital twins, Internet of Things, are considered key enablers for promoting sustainable manufacturing. Despite the advances in the field, full deployment of sustainable and circular oriented digital tools is still limited. In this study, we aim to present the development of an orchestrator that supports data exchange between different modules and digital twins. The orchestrator developed was responsible for coordinating services and input from the user, regarding the material removal processes, the input from time series database and the engine to calculate energy consumption. The orchestrator was applied in several cases, among which a case of repairing via material removal processes as the coordinator of the physical system while a data-driven digital twin is developed, to simulate the energy consumption during the repair process. The orchestrator enabled the deployment of the digital twin and the interaction with data, promoting thus the simulations performed by the digital twin with the main outcome being the energy consumption of the machining process viewed in a graphical environment. The developed orchestrator was shown to provide a dynamic environment, for near real-time coordination of services, supporting thus sustainability in action.