Computational Intelligence in Remanufacturing

This book explores innovative computational intelligence techniques applied to remanufacturing, addressing challenges and highlighting future research opportunities in the field.

In an effort to mitigate greenhouse gas emissions, numerous alternatives to traditional manufacturing have been proposed by various international organizations. Among these alternatives, remanufacturing stands out as a promising solution that can significantly enhance both ecological sustainability and business profitability. While challenges are inevitable in this transition, the potential benefits make remanufacturing an attractive option for industries looking to innovate and adapt to environmental demands.

Computational Intelligence in Remanufacturing delves into a range of computational intelligence techniques specifically tailored to address challenges associated with remanufacturing. The book presents detailed analyses of various applications, showcasing results and lessons learned from real-world implementations. By focusing on these techniques, the text not only emphasizes the current state of remanufacturing practices but also outlines future directions for research and development in this vital field.

This book serves as an invaluable resource for a diverse audience, including students, researchers, and practitioners in mechanical, industrial, and electrical engineering. With its comprehensive coverage of computational intelligence applications in remanufacturing, Computational Intelligence in Remanufacturing equips readers with the knowledge and insights necessary to navigate the complexities of this evolving industry.