Industry 4.0 drives the evolution toward efficient, intelligent, and interconnected production systems, where standardized digital twins—centered on the Asset Administration Shell (AAS)—provide a unified digital representation of physical and logical assets.

This paper demonstrates a comprehensive digitalization methodology by transforming a legacy industrial electric screwdriver into a fully compliant Industry 4.0 component, serving as a concrete case study. The approach rigorously follows the RAMI 4.0 reference architectural model and the Acatech Industry 4.0 Maturity Index principles, enabling progressive maturity advancement in brownfield environments.

The generic, replicable process consists of six modular stages adaptable to virtually any industrial asset: (i) asset characterization, functional analysis, and digitalization objective definition; (ii) creation of a Type 1 AAS (static/digital master) using standardized submodel templates for semantic description; (iii) design and deployment of low-cost/custom IoT sensing hardware to capture relevant real-time data (e.g., energy, usage, condition); (iv) bidirectional integration linking the physical asset to its digital representation; (v) implementation of a dynamic Type 2 AAS with secure runtime interfaces (e.g., OPC UA server); and (vi) real-time data access, visualization, and analytics via standardized clients.

This standardized, scalable methodology offers a practical blueprint for retrofitting legacy equipment without requiring full system replacement, thereby accelerating Industry 4.0 adoption across diverse manufacturing domains. The screwdriver implementation validates how standardized digital twins enable enhanced condition monitoring, energy transparency, predictive insights, data-driven decision-making, and improved operational efficiency and sustainability.