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Intelligent Systems for Industrial Robots in Logistics and Supply Chain Applications

M. Arangarajan, Manish Kumar, Manish Gupta, Karimulla Syed, Prashant Kumar Shukla

Year
2024
Citations
3

Abstract

This chapter offers a comprehensive exploration of the impact of intelligent systems on industrial robotics in the context of logistics and supply chain management. It commences with an examination of the historical evolution of industrial robots and their gradual assimilation into the logistics domain, illuminating the disruptive influence of automation on traditional supply chain models. The central focus of this discussion revolves around the myriad advantages conferred by intelligent systems, particularly their capacity to optimize various facets of logistics and supply chain operations. These systems not only enhance efficiency and productivity but also possess the transformative potential to reshape the foundational principles of industrial robotics. Further, the chapter delves into the intricacies of integrating intelligent systems with existing industrial robots.

Keywords

Supply chainAutomationRobotRoboticsTransformative learningContext (archaeology)Supply chain managementSystems engineeringManufacturing engineeringComputer science

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