TITLE:
Operationalizing Digital Twin Technology in the U.S. Industrial Settings
AUTHORS:
Robb Shawe
KEYWORDS:
Digital Twin, Industrial Applications, Manufacturing, Energy, Aerospace, Healthcare, Use Cases, Industry 4.0, Implementation Strategies, Security, Predictive Maintenance, Economic Impact, Sustainable Development, Innovation, Workforce Readiness, System Integration, Data Security, Competitiveness, Decision-Making, Virtual Modeling, Artificial Intelligence, Machine Learning, Edge Computing, Cyber-Physical Systems, Regulatory Compliance
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.18 No.10,
October
14,
2025
ABSTRACT: A digital twin is a digital representation of a physical object, process, or system that synchronizes data between the physical and virtual domains to enable real-time monitoring, simulation, and optimization. Digital twin technology is transforming how workers in U.S. industries operate, make decisions, and innovate. A virtual twin of reality is helping teams across manufacturing, energy, aerospace, and healthcare optimize operations, predict failures, and improve decision-making. The benefits of digital twin technology go beyond just the technical aspects. It impacts the lives of workers, patients, and communities. Achieving digital twin innovation depends on workforce readiness, system integration, data security, and balancing new technology with existing practices. Digital twin will continue to grow as new trends and policies emerge. It is a key to innovation, sustainability, and competitiveness for the networks built around this field. This documentation offers unique perspectives aimed at increasing understanding of the evolving digital work environment. Reported deployments show measurable impact, including OEE improvements of +31% and machining time reduction of 25% - 36% in a Siemens Energy case study, and up to ~40% energy reduction in a manufacturing heating-tunnel deployment. Duke Energy reports efficiency gains in power plant maintenance.