Digital and Physical Integration in Modern Mechanical Engineering: Bridging Smart Manufacturing and Executive Decision-Making

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@article{1716637,
      author = {ALPER DOGAN},
      title = {Digital and Physical Integration in Modern Mechanical Engineering: Bridging Smart Manufacturing and Executive Decision-Making},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {3},
      pages = {2305-2316},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716637.pdf},
      abstract = {The convergence of digital and physical systems is transforming modern mechanical engineering, redefining how products are designed, manufactured, and managed. Smart manufacturing environments integrate real-time data, advanced analytics, and interconnected production systems, enabling more adaptive and efficient operations. However, the growing complexity of these integrated systems introduces new challenges in coordination, decision-making, and system reliability. This study examines the integration of digital and physical systems in mechanical engineering, focusing on how smart manufacturing technologies influence both operational processes and executive decision-making. It explores the role of digital twins, data infrastructure, and cyber-physical systems in creating connected production environments. Particular attention is given to the translation of real-time data into actionable insights that support strategic and operational decisions. A key contribution of this paper is the development of an integrated framework that bridges engineering systems with executive-level decision-making processes. The study highlights how digital tools enhance visibility, reduce uncertainty, and enable more informed decisions across the lifecycle of mechanical systems. The findings demonstrate that successful integration requires not only technological capabilities but also organizational alignment and leadership. By connecting digital intelligence with physical operations, organizations can achieve greater efficiency, adaptability, and system-level performance.},
      keywords = {Smart Manufacturing, Digital Twins, Cyber-Physical Systems, Data-Driven Engineering, Executive Decision-Making},
      month = {September},
      doi = {https://doi.org/10.64388/IREV9I3-1716637}
  }