Application of Swarm Robotics in Supply Chain and Logistics

Abstract

The advent of swarm robotics in supply chain and logistics marks a transformative shift in how these critical industries operate. This chapter explores the integration of swarm robotics into supply chain management and logistics, highlighting the paradigm shift from conventional methods to more efficient, automated systems. The chapter begins by defining swarm robotics, emphasising its characteristics such as decentralisation of control, scalability, and robustness. It then delves into the specific applications of these robotic systems in various aspects of supply chain and logistics. The chapter illustrates how swarm robotics revolutionises inventory management and warehousing procedures by enabling automated storage, retrieval, and sorting processes. The chapter also discusses the role of artificial intelligence (AI), machine learning (ML), and IoT in augmenting the capabilities of swarm robotic systems. The chapter addresses the challenges and limitations of implementing swarm robotics in the supply chain and logistics sectors. By optimising routes and reducing redundant processes, these systems significantly lower energy consumption and carbon emissions, contributing to environmentally sustainable operations.