Developing Bio-Inspired Adaptive Manufacturing Systems in Real Time

Abstract

The evolving manufacturing landscape, characterized by increasing demands for customization, flexibility, and efficiency, requires adaptive systems that can respond in an autonomous and dynamic way. Bio-inspired Adaptive Manufacturing Systems, or Bio-AMS, provide a novel answer by integrating principles from nature that include self-organization, resilience, and adaptability. This paper covers the development and application of Bio-AMS, in which biological inspiration from organisms and ecosystems was applied to create systems that would adapt to varying production demands, disturbances, and resource constraints. In this manner, Bio-AMS enhances both the efficiency and scalability of systems with decentralized control, adaptive feedback, and MAS architectures. Simulations show that Bio-AMS outperforms conventional systems in terms of minimizing downtime and maximizing productivity. Case studies demonstrate their capability for autonomous adaptation to disruption and therefore operational resilience. Future work focuses on refining the algorithms, integrating advanced technologies like AI and IoT, and taking the applications to various industries.