信息物理系统
生产(经济)
计算机科学
工作流程
决策支持系统
背景(考古学)
自动化
可用性
知识管理
人类系统工程
数据科学
风险分析(工程)
人机交互
业务
人工智能
工程类
宏观经济学
古生物学
经济
操作系统
生物
机械工程
数据库
作者
Philipp Brauner,Martina Ziefle
标识
DOI:10.1109/indin41052.2019.8972142
摘要
Industry 4.0 and the Internet of Production can increase efficiency and effectiveness of workflows in manufacturing companies and production networks. Despite ubiquitous automation, people are essential in socio-technical cyber-physical production systems due to unique cognitive capabilities, as final arbitrators, or for ethical and legal reasons. However, the design of interfaces between the human-in-the-loop and production systems poses challenges not yet been sufficiently elaborated in research and practice. We present two behavioural studies in the context of inter-company collaboration that show why considering the human-in-the-loop is crucial: The first study shows that information complexity and individual differences shape the overall decision quality. With increasing information complexity, the decision speed decreases and the decision accuracy descends. Consequently, a fine balance between necessary, abundant, and superfluous information must be found. The second experiment studies human decision making in complex environments using a business simulation. We found that correct decision aids can augment the human-in-the-loop's decision making and that these can increase usability, trust, and proft. Yet, incorrect decision support has the opposite effect. Guidelines for designing socio-technical cyber-physical production systems and a research agenda conclude this article.
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