Flexibility and Efficiency in Reconfigurable Manufacturing Systems

Dear Colleagues,

In today’s dynamic and rapidly evolving industrial landscape, the quest for enhancing manufacturing agility, adaptability, and efficiency has become more pressing than ever. As such, this Special Issue aims to shed light on the latest advancements, challenges, and opportunities in the scope of reconfigurable manufacturing systems (RMSs). The significance of research in flexibility and efficiency within RMSs cannot be overstated. In today’s hyper-competitive global marketplace, manufacturers are constantly challenged to deliver high-quality products with shorter lead times, lower costs, and minimal environmental impact. RMSs provide a promising avenue to address these challenges by enabling rapid production changeovers, the seamless integration of new technologies, and optimal resource utilization. Furthermore, as industries continue to embrace concepts such as digital twin, Industry 4.0, and smart manufacturing, the role of RMSs becomes even more vital. These systems serve as the foundation for implementing advanced technologies, such as cyber-physical systems, Internet of Things (IoT), artificial intelligence, and autonomous robotics, fostering the creation of highly adaptive and interconnected production ecosystems.

We invite researchers, academics, and practitioners from around the globe to contribute their recent findings, innovations, and insights to this Special Issue. Whether your work explores novel reconfiguration strategies, optimization algorithms, simulation techniques, artificial intelligence tools, case studies, or real-world applications, we welcome diverse perspectives and contributions that advance the state of the art in flexibility and efficiency within RMSs.

This Special Issue aims to present an exceptional platform for researchers to showcase their work, collaborate with peers, and make a meaningful impact in the domain of reconfigurable manufacturing systems. We look forward to receiving your submissions and to collectively advancing the frontiers of knowledge in this exciting and transformative field.

Dr. Ismail M. Ali
Dr. Ripon K. Chakrabortty
Guest Editors

Manuscript Submission Information

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• reconfigurable manufacturing systems
• digital twin
• Industry 4.0
• cyber-physical systems
• artificial intelligence
• autonomous robotics