Digital Shadow Enabled Integrated Multi-platform Automation System for Industrial Assembly

This paper presents a fully autonomous assembly line for custom cubes with two sub-block options (plastic and aluminium). Users can design their cubes through an Android app or website interface. The system retrieves orders, processes them based on deadlines, and dispenses the required sub-blocks. A quality inspection station with computer vision and machine learning ensures that defect-free parts are used. Cobots handle sub-block transportation and manipulation throughout the assembly process, with a dedicated station for inserting pins when necessary. A digital Shadow model facilitates performance analysis and optimization. Cloud-based platforms manage data, order processing, and remote access. Finally, an Automated Storage and Retrieval System (ASRS) manages cube storage and delivery. This research demonstrates the potential of combining automation, machine learning, and real-time monitoring for efficient custom product assembly. The approach offers applications in various industries and lays the groundwork for future research on expanding customization options and production flow optimization.