供应链
自动化
机器人
机器人学
转化式学习
背景(考古学)
供应链管理
系统工程
制造工程
计算机科学
智能决策支持系统
工程类
人工智能
业务
机械工程
营销
心理学
古生物学
教育学
生物
作者
M. Arangarajan,Manish Kumar,Manish Gupta,Karimulla Syed,Prashant Kumar Shukla,S. Sivakumar
出处
期刊:Advances in logistics, operations, and management science book series
日期:2024-03-01
卷期号:: 174-191
标识
DOI:10.4018/979-8-3693-3593-2.ch012
摘要
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.
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