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Rapid digitalization of manufacturing activities envisioned in Industry 4.0 is realized through Smart Manufacturing (SM) and Cyber Physical Production Systems (CPPS) to cope with the ever-increasing business challenges. The integration of physical systems and processes with the virtual world is accomplished by Digital Twin (DT), which acts as the key enabler to realize data-driven manufacturing. A DT is an abstraction of physical world into cyber space for shop-floor data collection, analysis and improved decision making such as simulation, optimization, prognostic health monitoring (PHM) and prediction for exercising better control of processes to enhance the overall performance of plant and machinery. In this paper, basic building blocks and functionalities of a DT are presented. Finally, a Machine Tool Digital Twin (MTDT) is proposed together with a CPPS, which is capable of improved decision making through optimization, simulation, and prediction of various Performance Indicators of metal cutting processes and machine tools.

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A Machine Tool Digital Twin to Implement Smartness in Discrete Production Environment

  • 章节

  • 发表日期：

    2026年

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  • Soumen Paul,
  • Nayan Manna,
  • Supriyo Roy,
  • Tarun Kanti Jana

摘要

Rapid digitalization of manufacturing activities envisioned in Industry 4.0 is realized through Smart Manufacturing (SM) and Cyber Physical Production Systems (CPPS) to cope with the ever-increasing business challenges. The integration of physical systems and processes with the virtual world is accomplished by Digital Twin (DT), which acts as the key enabler to realize data-driven manufacturing. A DT is an abstraction of physical world into cyber space for shop-floor data collection, analysis and improved decision making such as simulation, optimization, prognostic health monitoring (PHM) and prediction for exercising better control of processes to enhance the overall performance of plant and machinery. In this paper, basic building blocks and functionalities of a DT are presented. Finally, a Machine Tool Digital Twin (MTDT) is proposed together with a CPPS, which is capable of improved decision making through optimization, simulation, and prediction of various Performance Indicators of metal cutting processes and machine tools.