Human-centered design of work systems in the transition to industry 4.0

Kadir, Bzhwen A; Broberg, Ole

doi:10.1016/j.apergo.2020.103334

Cited by 100 publications

(83 citation statements)

References 58 publications

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“…It is anticipated that collaborate modeling and probing highly interactive and tangible tools, such as Metasonic Touch ® metasonic.de/touch), could be of use to overcome domain-specific and technical barriers-a prerequisite for successful CPS implementation as a socio-technical system. Evaluations will take into account the latest results from transformation studies, e.g., [44], as the introduction of digital technologies in work systems are creating various socio-technical challenges. They do not only affect the performance but, also, the well-being of concerned stakeholders.…”

Section: Discussionmentioning

confidence: 99%

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Stary

2021

Sensors

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Cyber-Physical Systems (CPS) form the new backbone of digital ecosystems. Upcoming CPS will be operated on a unifying basis, the Internet of Behaviors (IoB). It features autonomous while federated CPS architectures and requires corresponding behavior modeling for design and control. CPS design and control involves stakeholders in different roles with different expertise accessing behavior models, termed Digital twins. They mirror the physical CPS part and integrate it with the digital part. Representing role-specific behaviors and provided with automated execution capabilities Digital twins facilitate dynamic adaptation and (re-)configuration. This paper proposes to conceptualize agent-based design for behavior-based Digital twins through subject-oriented models. These models can be executed and, thus, increase the transparency at design and runtime. Patterns recognizing environmental factors and operation details facilitate the configuration of CPS. Subject-oriented runtime support enables dynamic adaptation and the federated use of CPS components.

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Section: Discussionmentioning

confidence: 99%

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Stary

2021

Sensors

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“…This framework does not, however, consider attributes at different decision levels such as 'What', 'How', and 'With'. There are also many frameworks (Baines et al 2005;Zhou et al 2009;Neumann and Dul 2010;Krugh and Mears 2018;Kolus, Wells, and Neumann 2018;Peruzzini, Grandi, and Pellicciari 2020;Kadir and Broberg 2021) that were designated as being under the design level, only Sobhani, Wahab, and Neumann (2016) describing a framework under the operational level. The framework of Baines et al (2005) supports simulation modelling tools for designing a system, the principal factors taking HF aspects into consideration.…”

Section: State-of-the-art Frameworkmentioning

confidence: 99%

“…Peruzzini, Grandi, and Pellicciari (2020) assisted in collecting data on worker's actions, the objective being to improve the performance of a factory, and Kadir and Broberg (2021) helped design the work system through combining HF in the transition towards Industry 4.0. The frameworks of (Das 1998;Zhou et al 2009;Neumann and Dul 2010;, Sobhani, Wahab, and Neumann 2016;Kolus, Wells, and Neumann 2018;Peruzzini et al 2020;Kadir and Broberg 2021) have primarily examined physical aspects, but have been backed by mental aspects (Neumann and Dul 2010;Krugh and Mears 2018;Peruzzini, Grandi, and Pellicciari 2020;Kadir and Broberg 2021). Less attention has, however, been given to psychosocial aspects (Das 1998;Baines et al 2005;Sobhani, Wahab, and Neumann 2016;Kadir and Broberg 2021).…”

Section: State-of-the-art Frameworkmentioning

confidence: 99%

Framework for incorporating human factors into production and logistics systems

Vijayakumar

Sgarbossa

Neumann

et al. 2021

International Journal of Production Research

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Many companies, despite there being opportunities for automation in production and logistics (P&L) systems, still rely on human workers due to their cognitive and motor skills. Taking Human Factor (HF) aspects into consideration when making P&L system design and management decisions is therefore important, an ignorance of HF potentially resulting in operator fatigue, discomfort, subsequent injuries and negative consequences for operator performance and the P&L system. A review of the literature shows that the majority of studies that take HF into consideration focus either on designing the workplace or on operation planning activities. There is also still a gap in the literature. Little has been published on P&L systems that incorporate HF and that combine different levels of shortterm operational policy decisions (e.g. job allocation) and long-term system characteristic decisions (e.g. layout design). Current state-of-the-art frameworks that support the design and management of P&L systems and that take HF into consideration rarely consider different decision levels. This study proposes a new framework that incorporates HF into P&L systems by combining different levels of decisions to improve performance, quality, and well-being.

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“…All the arguments made above for industrial-focused applications can also be made for all roles within the valuechain and along the product-lifecycle up to the consumer. Thus, AR needs to be inherently human centered [47] to be accepted and implemented / used successfully [4].…”

Section: How Is Ar Relevant In Industry 40?mentioning

confidence: 99%

Augmented Reality: Focusing on Photonics in Industry 4.0

Masood

Egger

2021

IEEE J. Select. Topics Quantum Electron.

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Industry 4.0 (or 4 th industrial revolution) facilitates horizontal and vertical digital information flow along value chains up to the end-customer and is highly relevant in a broad variety of industries. Augmented reality (AR) is a key technology in Industry 4.0, which connects the virtual and real-world environments using such digital information flows. In doing so, the technology relies upon the systems that includes hardware and software components. Particularly, optics and photonics are of much importance in the display and processing of information in these systems. However, a particular challenge is that the AR-based systems have not been adopted in the industry as much as other technologies even after several decades of their existence. Based on review of academic literature, an industrial survey and experiments conducted in the industry, this article aims to identify success factors and challenges of AR systems and metrics of photonic components that can form the basis of an AR* framework for photonics-based system design for future research.

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Human-centered design of work systems in the transition to industry 4.0

Cited by 100 publications

References 58 publications

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Framework for incorporating human factors into production and logistics systems

Augmented Reality: Focusing on Photonics in Industry 4.0

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