Abstract
Since the start of industrialization, machine capabilities have increased in such a way that human control of processes has evolved from simple (with mechanization) to cognitive (with computerization), and even emotional (with semi/full automation). The processes have also evolved from simple to complicated, and now complex systems, in the emerging context of Industry 4.0. The objective of the special issue “Human and Industry 4.0” is to benefit from studies and results from current manufacturing projects to highlight clues and good practices to design intelligent manufacturing systems for Industry 4.0, then paying attention to human involvements in order to unsure what it looks like in practice and how to realize these systems, especially when it comes to maintenance and operations. This paper aims to summarize the scientific papers that contributed to the Special Issue “Human and Industry 4.0”.
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Boy GA (2020) From rigid automation to flexible autonomy. Human-systems integration. CRC Press, London, pp 99–123. https://doi.org/10.1201/9780429351686-5
Castelfranchi C (2003) For a “cognitive program”. Explicit mental representations for Homo oeconomicus (the case of trust). Cognitive processes and economic behaviour. Springer, Berlin, pp 168–208
Fantini P, Pinzone M, Taisch M (2020) Placing the operator at the centre of Industry 4.0 design: modelling and assessing human activities within cyber-physical systems. Comput Ind Eng. https://doi.org/10.1016/j.cie.2018.01.025
Flemisch F, Abbink DA, Itoh M, Pacaux-Lemoine MP, Weßel G (2019) Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human–machine cooperation, cooperative guidance and control, shared, traded and supervisory control. Cognit Technol Work 21(4):555–568. https://doi.org/10.1007/s10111-019-00576-1
Lee J, Bagheri B, Kao HA (2015) A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manuf Lett 3:18–23. https://doi.org/10.1016/j.mfglet.2014.12.001
Pacaux-Lemoine MP, Flemisch F (2019) Layers of shared and cooperative control, assistance, and automation. Cognit Technol Work 21(4):579–591. https://doi.org/10.1007/s10111-018-0537-4
Pacaux-Lemoine M-P, Flemisch FO (2021) Human-Cyber-Physical System Integration (HSI) in Industry 4.0: design and evaluation methods. In: IEEE ISIE 2021, The 30th International Symposium on Industrial Electronics.
Pacaux-Lemoine MP, Trentesaux D, Zambrano Rey G, Millot P (2017) Designing intelligent manufacturing systems through human-machine cooperation principles: a human-centered approach. Comput Ind Eng 111:581–595. https://doi.org/10.1016/j.cie.2017.05.014
Romero D, Wuest T, Stahre J, Gorecky D (2017) Social factory architecture: Social networking services and production scenarios through the social internet of things, services and people for the social operator 4.0. IFIP Adv Inf Commun Technol 513:265–273. https://doi.org/10.1007/978-3-319-66923-6_31
Tausch AK (2020) The best task allocation process is to decide on one’s own: effects of the allocation agent in human–robot interaction on perceived work characteristics and satisfaction. Cognit Technol Work. https://doi.org/10.1007/s10111-020-0065
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Pacaux-Lemoine, MP., Sallak, M., Sacile, R. et al. Introduction to the special section humans and industry 4.0. Cogn Tech Work 24, 1–5 (2022). https://doi.org/10.1007/s10111-022-00696-1
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DOI: https://doi.org/10.1007/s10111-022-00696-1