Authors: Anjali Verma, Rohit Keshari
Abstract: The evolution of Industry 4.0 has dramatically reshaped the modern manufacturing landscape, emphasizing the need for intelligent, distributed, and autonomous decision-making systems. Multi-Agent Systems (MAS) have emerged as a pivotal solution, enabling decentralized control and enhancing operational efficiency through real-time collaboration and negotiation among autonomous agents. This paper explores the architecture, functionality, and implementation of MAS in autonomous manufacturing environments. It delves into the roles of individual agents, coordination strategies, communication protocols, and decision-making capabilities. The paper also evaluates real world use cases where MAS have successfully improved flexibility, reduced downtime, and supported predictive maintenance in smart factories. Challenges such as system complexity, interoperability, and cybersecurity risks are addressed, along with recommendations for future research.
Keywords: Multi-Agent Systems, Autonomous Manufacturing, Smart Factory, Distributed Control, Industry 4.0
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