Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework

被引：22
作者：
Carvalho, Adriana Ventura [1 ]
Chouchene, Amal [1 ,2 ]
Lima, Tania M. [1 ,3 ]
Charrua-Santos, Fernando [1 ,3 ]
机构：
[1] Univ Beira Interior, Dept Electromech Engn, P-6200358 Covilha, Portugal
[2] Univ Tunis El Manar, LIMTIC, Lab Rech Informat Modelisat & Traitment Informat, Res Team SIIVA, Tunis 1068, Tunisia
[3] Univ Beira Interior, C MAST Ctr Mech & Aerosp Sci & Technol, P-6201358 Covilha, Portugal
来源：
APPLIED SYSTEM INNOVATION | 2020年 / 3卷 / 04期
关键词：
Industry; 4.0; cognitive manufacturing; cognitive load; human-computer interaction; SYSTEM;
D O I：
10.3390/asi3040055
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cognitive manufacturing utilizes cognitive computing, the industrial Internet of things (IoT), and advanced analytics to upgrade manufacturing processes in manners that were not previously conceivable. It enables associations to improve major business measurements, for example, productivity, product reliability, quality, and safety, while decreasing downtime and lowering costs. Considering all the facts that can prejudice the manufacturing performance in Industry 4.0, the cognitive load has received more attention, since it was previously neglected with respect to manufacturing industries. This paper aims to investigate what causes cognitive load reduction in manufacturing environments, i.e., human-computer interaction technologies that reduce the identified causes and the applications of cognitive manufacturing that use the referred technologies. Thus, a conceptual framework that links cognitive manufacturing to a reduction of the cognitive load was developed.
引用
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页码：1 / 14
页数：14
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