Process Orchestration and Product Traceability for Human-Robot Collaborative Remanufacturing

This paper explores the synergy between process orchestration and product traceability in the realm of human-robot collaborative remanufacturing, aiming to present a unified framework for heightened operational efficiency and comprehensive product traceability. Remanufacturing processes, characterized by complexity and variability, necessitate agile systems for effective workflow management. We delve into the integration of real-time, AI-driven process orchestration to dynamically allocate tasks, ensuring optimal resource utilization and workflow efficiency. Simultaneously, robust product traceability mechanisms are implemented to enhance transparency and accountability throughout the product lifecycle. Through case study, we showcase the successful integration of these components, emphasizing their collective impact on flexibility, quality control, and resilience in remanufacturing. This collaborative approach not only enhances operational agility but also establishes elevated standards for product traceability, addressing the growing demand for sustainable and transparent practices in remanufacturing industries. This research contributes a holistic perspective, providing a viable model for industry-wide adoption to advance remanufacturing processes. A remanufacturing scenario is given as paradigm for the proposed method.