<p>This paper explores the integration of Digital Twins and smart services within Reconfigurable Manufacturing Systems to enhance adaptability, efficiency, and decision-making in modular production environments. Through four industrial case studies, we derive business and system requirements, leading to the development of a conceptual architecture that supports real-time monitoring, simulation, and optimization. The results demonstrate significant improvements in lead time, production efficiency, and operational costs, while also identifying challenges such as DT configuration complexity and interoperability issues. The proposed conceptual architecture introduces a scalable, microservices-based approach that enables distributed intelligence, seamless reconfiguration, and enhanced interoperability between production modules, marking a step forward in the evolution of flexible and data-driven manufacturing ecosystems.</p>

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Enabling production re-configurability through Digital Twins: a case study approach

  • S. Plitsos,
  • K. Giannakos,
  • T. Farmakis,
  • P. Eirinakis,
  • T. Hohmann,
  • O. Jotz,
  • G. Vivo

摘要

This paper explores the integration of Digital Twins and smart services within Reconfigurable Manufacturing Systems to enhance adaptability, efficiency, and decision-making in modular production environments. Through four industrial case studies, we derive business and system requirements, leading to the development of a conceptual architecture that supports real-time monitoring, simulation, and optimization. The results demonstrate significant improvements in lead time, production efficiency, and operational costs, while also identifying challenges such as DT configuration complexity and interoperability issues. The proposed conceptual architecture introduces a scalable, microservices-based approach that enables distributed intelligence, seamless reconfiguration, and enhanced interoperability between production modules, marking a step forward in the evolution of flexible and data-driven manufacturing ecosystems.