Skip to main content
Article
100%
HD

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!

Bonus
100%
HD

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.

Ask AI

Explore key aspects of this story with 3 quick insights

Source

Authors:
Yufan ZhengWenkang ZhangRunjing WangRafiq Ahmad
Date Published:
Original Article www.mdpi.com
Fact-check verified on 10/10/2025
Read our Editorial Guidelines & AI Ethics Policy
Creative Commons License CC BY-NC-SA 4.0

Keep exploring

Discover the full archive of science bites or head back to home

Riconnessione al server... Aggiornamento della sessione in corso
Connessione interrotta Impossibile stabilire il collegamento
Sessione aggiornata Ricarica per visualizzare i contenuti