Towards human-based industrial cyber-physical systems

Pacaux‐Lemoine, Marie‐Pierre; Berdal, Quentin; Enjalbert, Simon; Trentesaux, Damien

doi:10.1109/icphys.2018.8390776

Cited by 30 publications

(11 citation statements)

References 33 publications

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“…In this scenario, human factors consideration becomes important and necessary in order to ensure that humans are kept safe. The heterogeneous nature of the ecosystem does present some dynamic multi-level challenges that need to be addressed [7] [8].…”

Section: Introductionmentioning

confidence: 99%

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Turner

Chen

et al. 2021

IEEE Access

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Industry 4.0 derived technologies have the potential to enable a new wave of digital manufacturing solutions for semi and fully automated production. In addition, this paradigm enco m p a s ses the use of communication technologies to transmit data to processing stations as well as the utilization of cloud based computational resources for data mining. Despite the rise in automation, future manufactu rin g systems will initially still require humans in the loop to provide supervisory level mediation for even the most autonomous production scenarios. Through a structured review, this paper details a number of key technologies that are most likely to shape this future and describes a range of scenarios for their use in delivering human mediated automated and autonomous production. This paper argues that in all cases of future manufacturing management it is key that the human has oversight of critical information flows and remains an active participant in the delivery of the next generation of production systems.

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Section: Introductionmentioning

confidence: 99%

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Turner

Chen

et al. 2021

IEEE Access

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“…A positive side effect of some optimization is the improved integration of humans into the production process. For example, concepts can reduce manual intervention in production but at the same time better integrate humans by placing them in a supervisor level through tool and algorithmic support [26].…”

Section: Discussionmentioning

confidence: 99%

Cognitive Production Systems: A Mapping Study

Deutschmann¹,

Ghofrani²,

Reichelt³

2020

Preprint

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Production plants today are becoming more and more complicated through more automation and networking. It is becoming more difficult for humans to participate, due to higher speed and decreasing reaction time of these plants. Tendencies to improve production systems with the help of cognitive systems can be identified. The goal is to save resources and time. This mapping study gives an insight into the domain, categorizes different approaches and estimates their progress. Furthermore, it shows achieved optimizations and persisting problems and barriers. These representations should make it easier in the future to address concrete problems in this research field. Human-Machine Interaction and Knowledge Gaining/Sharing represent the largest categories of the domain. Most often, a gain in efficiency and maximized effectiveness can be achieved as optimization. The most common problem is the missing or only difficult generalization of the presented concepts.

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“…Psychosocial parameters measurement [16,28,37,39,[90][91][92][93][94][95][96] Integration of psychosocial risks in decision system [2,13,37,[45][46][47]50,53,[97][98][99][100][101][102][103][104] This section introduces a specific analysis of each class of health objective.…”

Section: Psychosocial Constraintsmentioning

confidence: 99%

“…The implication of workers in the designing process reduces the insecurity risks linked with the integration of new technologies because workers have a better understanding of the human-machine collaboration and have an impact on the development of their tools [90,93]. The integration of human-in-the-loop simulation inside the process control of CPPS objectives is to provide assistance systems in order to benefit from human competencies and capacities, while simultaneously respecting human limits [101]. Climate and ties to the workplace are menaced by the psychosocial factors, which greatly impact the sense of stress and the sense of threat for the worker [13].…”

Section: Integration Of Psychosocial Risks In the Decision Systemmentioning

confidence: 99%

Health-Related Parameters for Evaluation Methodologies of Human Operators in Industry: A Systematic Literature Review

et al. 2021

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Human factors have always been an important part of research in industry, but more recently the idea of sustainable development has attracted considerable interest for manufacturing companies and management practitioners. Incorporating human factors into a decision system is a difficult challenge for manufacturing companies because the data related to human factors are difficult to sense and integrate into the decision-making processes. Our objectives with this review are to propose an overview of the different methods to measure human factors, of the solutions to reduce the occupational strain for workers and of the technical solutions to integrate these measures and solutions into a complex industrial decision system. The Scopus database was systematically searched for works from 2014 to 2021 that describe some aspects of human factors in industry. We categorized these works into three different classes, representing the specificity of the studied human factor. This review aims to show the main differences between the approaches of short-term fatigue, long-term physical strain and psychosocial risks. Long-term physical strain is the subject that concentrates the most research efforts, mainly with physical and simulation techniques to highlight physical constraints at work. Short-term fatigue and psychosocial constraints have become a growing concern in industry due to new technologies that increase the requirements of cognitive activities of workers. Human factors are taking an important place in the sustainable development of industry, in order to ameliorate working conditions. However, vigilance is required because health-related data creation and exploitation are sensible for the integrity and privacy of workers.

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Towards human-based industrial cyber-physical systems

Cited by 30 publications

References 33 publications

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Cognitive Production Systems: A Mapping Study

Health-Related Parameters for Evaluation Methodologies of Human Operators in Industry: A Systematic Literature Review

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