Towards a Smart Combination of Human and Artificial Intelligence for Manufacturing

被引:0
作者
van den Bergh, Jan [1 ]
Rodriguez-Echeverria, Jorge [2 ,3 ,4 ]
Gautama, Sidharta [2 ,3 ]
机构
[1] UHasselt tUL Flanders Make, Diepenbeek, Belgium
[2] FlandersMake UGent Corelab ISyE, Lommel, Belgium
[3] Univ Ghent, Dept Ind Syst Engn & Prod Design, B-9052 Ghent, Belgium
[4] ESPOL Polytech Univ, Escuela Super Politecn Litoral, ESPOL, Fac Ingn Elect & Comp, Campus Gustavo Galindo Km 30-5 Via Perimetral, EC-090112 Guayaquil, Ecuador
来源
DESIGN FOR EQUALITY AND JUSTICE, INTERACT 2023, PT I | 2024年 / 14535卷
关键词
Industry; 5.0; Internet of Things; Digital Twin; FMEA; Artificial Intelligence;
D O I
10.1007/978-3-031-61688-4_3
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The manufacturing industry is evolving toward more automation and digitization. This includes collecting data from sensors, machines, and software used on the shop floor. Human workers and their strengths and needs are still essential, as recognized by the Industry 5.0 vision. This vision is still abstract, and concepts like human-centricity, digital twin, and production intelligence are still semantically ill-defined to be mapped directly, given the complexity of manufacturing environments. In this paper, we center on the quality management process of Failure Mode and Effects Analysis (FMEA) to propose terminology and a framework to reflect on potential solutions in Industry 5.0. We explore the integration of human and artificial intelligence to create a continuous and actioning quality management process that extends the capabilities of the current process FMEA.
引用
收藏
页码:20 / 30
页数:11
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