2019
DOI: 10.1016/j.ifacol.2019.11.589
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Human diversity factors in production system modelling and design: state of the art and future researches

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Cited by 19 publications
(8 citation statements)
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“…For example, Dalle Mura and Dini ( 2019 ) optimized ergonomics in assembly lines by proposing a multi-objective genetic algorithm capturing human factors: age, gender, weight, height, and skill. However, Katiraee et al ( 2019 ) indicated that human differences regarding age and skill have been well studied in the literature, while few studies investigate other human aspects, including cognitive abilities. Therefore, future research on the topic should be ready to accommodate individualization in accordance with human diversity to encapsulate a new relationship between society and technology in the context of Industry 4.0.…”
Section: Discussion and Opportunities For Future Researchmentioning
confidence: 99%
“…For example, Dalle Mura and Dini ( 2019 ) optimized ergonomics in assembly lines by proposing a multi-objective genetic algorithm capturing human factors: age, gender, weight, height, and skill. However, Katiraee et al ( 2019 ) indicated that human differences regarding age and skill have been well studied in the literature, while few studies investigate other human aspects, including cognitive abilities. Therefore, future research on the topic should be ready to accommodate individualization in accordance with human diversity to encapsulate a new relationship between society and technology in the context of Industry 4.0.…”
Section: Discussion and Opportunities For Future Researchmentioning
confidence: 99%
“…In fact, Sgarbossa et al (2020), have recently highlighted the strong need of the design of individualised, customised solutions in the context of managing increased diversity in workers, including a range of perceptual, cognitive and physical capabilities and needs. Then, this study extends the initial study by Katiraee et al (2019) presented in a conference paper by considering more features, analysing more scientific papers, introducing two new classifications and conducting a deeper analysis of the existing contributions. This extended analysis resulted in the comprehensive future research agenda provided in this paper.…”
Section: Introductionmentioning
confidence: 69%
“…The industrial scenario has tasks that are difficult to automatable. Also, a range of industrial activities are linked to the human and even in an automated scenario is human intervention (Katiraee, Battini, Battaia, & Calzavara, 2019). In contrast, in Industry 4.0 has an abandonment in the subject of human interaction with the production system (Angelopoulou et al, 2020).…”
Section: Justification and Problem Statementmentioning
confidence: 99%
“…Most studies in the field of Industry 4.0 focused on models without the human interaction or a weak interaction. Within the supply chain, humans are direct consumers of products or services (Katiraee et al, 2019).…”
Section: Justification and Problem Statementmentioning
confidence: 99%
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