Industrial Systems

Iordache, Octavian

doi:10.1007/978-3-319-52551-8_8

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…Therefore, in light of our first research question (RQ1), the technological components described in Table 3 are what allow the main principles of I4.0 to be outlined: interoperability, real-time access to data, virtualization, decentralized decision-making, and demand/service-oriented production (Santos et al, 2017 ). Generally speaking, people, machine, equipment, logistics systems and components are expected to communicate and cooperate with each other as these factories become adaptable and flexible (Iordache, 2017 ; Gray-Hawkins et al, 2019 ; Gajšek et al, 2020 ). Following this perspective and in contrast to previous work scenarios, new forms of human-machine interaction are supposed to assist workers safely and efficiently, in a diverse range of environments and tasks, even when these are highly dynamic and uncertain (Richert et al, 2016a ).…”

Section: Discussionmentioning

confidence: 99%

“…. system efficiency assessment) Richert et al, 2016a;Gregor et al, 2017;Iordache, 2017;Lee et al, 2017;Santos et al, 2017;Badri et al, 2018;Um et al, 2018;Gray-Hawkins et al, 2019;Hamdi et al, 2019;Kumar and Kumar, 2019;Madonna et al, 2019;Ahmad et al, 2020;Blštáková et al, 2020;Brozzi et al, 2020;Cimini et al, 2020;Gajšek et al, 2020;Gazzaneo et al, 2020;Longo et al, 2020;Miśkiewicz and Wolniak, 2020;Ramadan et al, 2020;Berrah et al, 2021;Çinar et al, 2021;El-Haouzi et al, 2021;Rupp et al, 2021;Stawiarska et al, 2021 1.2. I4.0 technologies were described through case studies on specific components, which included both implementation and trial studies, as well as their expected outcomes and limits.…”

Section: Discussionmentioning

confidence: 99%

“…The movement which converges manufacturing with the digital revolution, corresponding to what is considered to be the fourth industrial revolution, emphasizing cooperation between industry and science, and, consequently, between knowledge and skills (Iordache, 2017;Badri et al, 2018;Rupp et al, 2021). It consists of a network with embedded electronic devices, allowing the collection and exchanging of data (Santos et al, 2017).…”

Section: Main Concepts Brief Definitionsmentioning

confidence: 99%

“…The growing implementation of digital and automation technologies in the industrial context, including collaborative robots (cobots), algorithms, artificial intelligence, Internet of Things (IoT), Big Data, and Cyber-Physical Systems (CPS), integrate a new paradigm known as the Fourth Industrial Revolution (4IR), also named Industry 4.0 (I4.0), Factories of the Future (FoF), or even Smart Manufacturing (Iordache, 2017 ; Gualtieri et al, 2020 ; Kadir and Broberg, 2021 ). Within this movement, interconnected intelligent factories are envisaged to allow efficient data collection and processing, distributing and guiding operations in an automated way while also allowing operational monitoring in real time (Moro et al, 2019 ; Çinar et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring the status of the human operator in Industry 4.0: A systematic review

2022

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Industry 4.0 (I4.0) promises to transform jobs and working conditions through the implementation of unprecedented human-machine interaction modes. As the operator working in these new settings, known as the Operator 4.0, is a relatively recent concept, and although technological developments are expected to support workers and require higher labor skills, the risks and health impacts resulting from these changes remain underexplored. This systematic review aims to (i) systematize literature findings on how workers are perceived and participate in I4.0 work systems; (ii) identify the main technological changes driven by I4.0; and (iii) instigate discussion regarding the impacts these changes may have for workers and the sustainability of work systems. Following a systematic review approach using the PRISMA protocol, the articles were organized into two main analysis axes: the technical changes brought about by I4.0, and the representation of the human worker within these new work settings. The findings reveal that a techno-centered approach still seems to be dominant in guiding the implementation of I4.0 models; secondly, as a consequence, the social dimensions of work tend to remain as residual issues, overshadowed by the promises related with technology (e.g., productivity, efficiency); finally, the representation of the Operator 4.0 remains blurry, as he/she is perceived as gender neutral, skillful, and perfectly fit for work, assuring the functioning (and compensating for the limits) of these systems. While I4.0 promises safer and more productive workplaces, issues related to employment conditions, emerging risks and health impacts become more prominent when analyzed from an activity-centered perspective. In terms of future research, a more heuristic analysis could be achieved through a participatory and work-centered approach and following a gender perspective. This way, visibility could be conferred to another side of I4.0, thus guaranteeing conditions for the sustainable development of these work situations.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Main Concepts Brief Definitionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the status of the human operator in Industry 4.0: A systematic review

2022

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What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry?

Juhász

Bányai

2018

Lecture Notes in Mechanical Engineering

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Smart design engineering: leveraging product design and development to exploit the benefits from the 4th industrial revolution

Pessôa

2020

Des. Sci.

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The 4th industrial revolution (IR) requires new products and business models adjusted to the rapidly changing market conditions, which calls for evolutions in design engineering. In this context, smart design engineering is here defined as a methodology used during the analysis and design of a product or a system, which can be composed by hardware, software and/or services, and that explicitly considers exploiting the technologies and opportunities from the 4th IR. This work contributes to both design theory and practice: (i) it deepens the understanding about the necessary smart design engineering features and shows how these features impact the product design and development process’s (PDDP) key dimensions (procedures, people and tools); (ii) it maps the features’ impact on PDDP’s phases, thus providing practical direction for process improvement. To accomplish these results, a survey was performed on the initial features presented in the literature, which helped to identify new features and to confirm their relation to the 4th IR and their impact on the PDDP. These features were then analyzed against the 4th IR environment perspectives and core technologies, which led to understanding how they can be used to improve the PDDP.

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Industrial Systems

Cited by 3 publications

References 17 publications

Exploring the status of the human operator in Industry 4.0: A systematic review

Exploring the status of the human operator in Industry 4.0: A systematic review

What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry?

Smart design engineering: leveraging product design and development to exploit the benefits from the 4th industrial revolution

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