Navigating the Digital Twin Landscape: Aligning Multiplicity of Tools with Multi-Use Case Systems
Résumé
Digital twins anchor Industry 4.0, enabling simulation, analysis, and optimization of physical systems through virtual counterparts. While benefits span healthcare, city planning, buildings, energy, education, and smart manufacturing, organizations often misalign solutions with user expectations. Key pitfalls include unclear requirements, overengineered platforms, and interoperability struggles. This paper consolidates insights from the literature and underlines the importance of early stakeholder involvement, well-defined performance indicators, and deferring technological tool selection until the final stages of the design process. By choosing platforms and methods only after user needs are clearly articulated and validated, digital twin implementations can better match operational realities. Case studies in didactic production lines, agro-industrial bioreactors, and short-distance food supply chains confirm how a usercentric, adaptive, and structured approach fosters more scalable, relevant, and sustainable outcomes.
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