dc.description.abstract | Remanufacturing is the process to restore the functionality of high-value end-of-life (EOL) products, which is considered a
substantial link in reverse logistics systems for value recovery. However, due to the uncertainty of the reverse material fow,
the planning of a remanufacturing reverse logistics system is complex. Furthermore, the increasing adoption of disruptive
technologies in Industry 4.0/5.0, e.g., the Internet of things (IoT), smart robots, cloud-based digital twins, and additive manufacturing, has shown great potential for a smart paradigm transition of remanufacturing reverse logistics operations. In this
paper, a new mixed-integer program is modeled for supporting several tactical decisions in remanufacturing reverse logistics,
i.e., remanufacturing setups, production planning and inventory levels, core acquisition and transportation, and remanufacturing line balancing and utilization. The model is further extended by incorporating utilization-dependent nonlinear idle
time cost constraints and stochastic takt time to accommodate diferent real-world scenarios. Through a set of numerical
experiments, the infuences of diferent demand patterns and idle time constraints are revealed. The potential impacts of
disruptive technology adoption in remanufacturing reverse logistics are also discussed from managerial perspectives, which
may help remanufacturing companies with a smart and smooth transition in the Industry 4.0/5.0 era. | en_US |