2015
DOI: 10.1016/j.cirp.2015.04.123
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Optimization of selective assembly and adaptive manufacturing by means of cyber-physical system based matching

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Cited by 101 publications
(52 citation statements)
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“…Here, the user's cognitive workload is a construct expressed in terms of alertness and relaxation. In [13], it was shown that a higher Q-band (4)(5)(6)(7) power is negatively correlated with alertness. Furthermore, [14] indicates that an increase in the a-band (8)(9)(10)(11)(12) For non-invasive data acquisition, an Emotiv Epoc EEG headset (sample rate of 128 Hz, 14-bit ADC) is used.…”
Section: Cognitive Workload Estimationmentioning
confidence: 97%
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“…Here, the user's cognitive workload is a construct expressed in terms of alertness and relaxation. In [13], it was shown that a higher Q-band (4)(5)(6)(7) power is negatively correlated with alertness. Furthermore, [14] indicates that an increase in the a-band (8)(9)(10)(11)(12) For non-invasive data acquisition, an Emotiv Epoc EEG headset (sample rate of 128 Hz, 14-bit ADC) is used.…”
Section: Cognitive Workload Estimationmentioning
confidence: 97%
“…The advantages of cognitive-aware technical systems and adaptive production systems have been shown in [5] and [6], respectively. This paper presents a new cognitive approach based on electroencephalography (EEG) for multimodal HMI combining speech and gesture control of AGVs used in logistics.…”
Section: Introductionmentioning
confidence: 98%
“…Na literatura ainda são poucas as propostas de modelos de maturidade de implementação da Indústria 4.0 nas empresas (SCHUMACHER et al, 2016;PWC, 2016;ROCKWELL AUTOMATION, 2014;LANZA et al, 2015;PORTER;HEPPELMANN, 2015). Entre estas propostas, a desenvolvida por Schumacher et al (2016) apresenta uma análise mais sistêmica da aplicação da Indústria 4.0 nas empresas, considerando 62 itens que mensuram por meio de uma escala Likert de 5 pontos o nível de implementação dos itens categorizados em nove diferentes dimensões.…”
Section: Modelos De Maturidade Da Indústria 40unclassified
“…Verifica-se que a dimensão tecnologia é a mais frequente nos modelos de maturidade analisados, sendo orientada para a mensuração do nível de adoção das tecnologias referentes à Indústria 4.0 (SCHUMACHER et al, 2016;PWC, 2016;ROCKWELL AUTOMATION, 2014;LANZA et al, 2015;PORTER;HEPPELMANN, 2015). Apesar disso, os diversos modelos de maturidade incluem outras dimensões, muito em razão de considerar o aspecto sistêmico que a sistema da Indústria 4.0 apresenta nas organizações.…”
Section: áReas De Avaliaçãounclassified
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