Imagine giving your old electronics or car parts a second life. That's the goal of **remanufacturing**, a process that turns used products into new ones, reducing waste and saving resources. But how is all this organized? A new study analyzed 190 researches to understand how to improve planning in these complex systems. The challenge? Used products are variable and processes are complicated. However, advanced technologies like robotics and artificial intelligence are revolutionizing the field. Discover how science is helping to create a more sustainable future!
Remanufacturing involves several stages, from collecting used products to repairing and restoring them. One of the most complex aspects is **production planning**, which must account for variables such as the quality of used parts, repair times, and market demands. Traditionally, deterministic methods are used, but with increasing complexity, approaches based on artificial intelligence and machine learning are being developed. For example, reinforcement learning allows real-time adaptation of planning, improving efficiency and reducing waste. Additionally, the use of digital twins and cloud-based systems enables more accurate simulation and optimization of processes. Future research directions include collaboration between intelligent systems and the integration of carbon reduction goals.
