个性化
分析
生产(经济)
计算机科学
大规模定制
数据管理
光学(聚焦)
数据科学
多样性(政治)
数据分析
数据库
数据挖掘
万维网
经济
社会学
宏观经济学
物理
光学
人类学
作者
Eduardo Colangelo,Torsten Kröger,Thomas Bauernhansl
出处
期刊:Procedia CIRP
[Elsevier]
日期:2018-01-01
卷期号:72: 191-196
被引量:10
标识
DOI:10.1016/j.procir.2018.03.145
摘要
Complexity in production systems is steadily growing– one of the drivers is the customer's desire for personalization of products and services. Existing production management systems rely on deterministic functions. Given the diversity and varying influence of these functions, current methods reach their limits and may not meet future needs. We introduce new opportunities provided by replacing and complementing these functionalities with data analytics. With a focus on production management and data-driven analysis we offer a flexible method that extends existing Industrie 4.0 technologies for several application areas (e.g., logistics, inventory management).
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