计算机科学
采购
重组
互连性
制造工程
供应链
供应链管理
工业4.0
大数据
过程(计算)
分析
制造业
过程管理
业务
营销
数据科学
人工智能
工程类
嵌入式系统
操作系统
财务
作者
Mito Kehayov,Lukas Holder,Volker Koch
标识
DOI:10.1016/j.procs.2022.01.321
摘要
The complexity and interconnectivity of today's manufacturing and purchasing and supply management (PSM) systems are paving the way for new technological advancements in the manufacturing and purchasing and supply sectors. Recent developments in artificial intelligence (AI) and the extensive amount of generated manufacturing data, known as big data, are allowing the integration of new kind of analytics tools in the supply chain, which are optimizing the way goods are produced. The focus of this paper is the application of such AI systems in the manufacturing and purchasing and supply management processes in factories, leading to concepts like smart factory and smart manufacturing, and the restructuring and digitalization on the production floor, dominated till to now by the human workforce.
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