Fourth industrial revolution concepts in the automotive sector: performativity, work and employment

Pardi, Tommaso

doi:10.1007/s40812-019-00119-9

Cited by 18 publications

(7 citation statements)

References 17 publications

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“…As industry is the part of economy, considering economic criteria is needed for I4.0 development [16]. From a policy point of view, utilizing significant policies are needed for public funding and private investment in a technological industry and society [41]. The social and environmental requirements are the main factors of the sustainability which should be considered in I4.0 development to create sustainable value.…”

Section: Resultsmentioning

confidence: 99%

Industry 4.0 Development Multi-Criteria Assessment: An Integrated Fuzzy DEMATEL, ANP and VIKOR Methodology

Sadeghi‐Niaraki

2020

IEEE Access

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Industry 4.0 (I4.0) includes an important regeneration of production and management systems within manufacturing, where the majority of the procedures will be entirely or partially automated. However, there are insufficient research studies related to I4.0 development assessment based on the various requirement factors to enable countries to measure their own conditions and to make future national strategies and roadmaps for their activities in this field. Thus, this paper develops a comprehensive framework to assess the countries' readiness level in I4.0 development. The research is conducted in several steps. First, the main required clusters and their criteria of I4.0 development assessment such as technological, social, economic, political and environmental clusters are determined. Second, the importance of the clusters and their criteria are specified using the Fuzzy DEMATLE and Fuzzy ANP techniques. Third, the countries are ranked using the VIKOR technique. In this study, the conditions of I4.0 development for South Korea, the United States, China, Iran, Japan, and Germany are assessed based on the proposed framework. The ranking results show the United States, Germany, and Japan got ranked first to third, based on the obtained VIKOR index, 0.000, 0.528, and 0.559, respectively. The framework is verified using sensitivity analysis and validated based on the countries' existing plans. The evaluation results are rescannable. The result shows that the United States, Germany, Japan, and South Korea got high scores especially in the technological cluster and also some challenges in the criteria related to the social and cultural clusters. On the other hand, China and Iran got the highest score in the labor force criterion of the social cluster (0.023) and the intercultural understanding criterion of the cultural cluster (0.006), respectively, however, they need to strengthen the technological cluster ''to be hopeful of having'' an active role in future global marketing.

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Section: Resultsmentioning

confidence: 99%

Industry 4.0 Development Multi-Criteria Assessment: An Integrated Fuzzy DEMATEL, ANP and VIKOR Methodology

Sadeghi‐Niaraki

2020

IEEE Access

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“…The most recent contributions have highlighted how the visions representing the impact of these technologies as 'disruptive' were largely overestimated and underlined the performative and rhetoric rather than the technical attributes of concepts such as 'Industry 4.0', 'digital revolution' etc., which currently represent more strategic-national-based plans (mainly for Germany, China and the U.S.) rather than actual trends of adoption (Pardi et al, 2020). Especially in the automotive sector, the human-based component inside factories still remains unavoidable (Pfeiffer, 2016), while the impact of new technologies appears so far to be limited and the prospects for future deployment unclear (Pardi, 2019).…”

Section: Theoretical Background: Lean Production and Industry 40mentioning

confidence: 99%

“…In the assembly phase the digitalisation of the production flow and the interconnection of machinery and equipment constitute the main innovation (Krzywdzinski, 2021;Cirillo, 2021). For this reason, although far from complete human replacement, new technologies exert significant influence on the work process (Pardi, 2019).…”

Section: Theoretical Background: Lean Production and Industry 40mentioning

confidence: 99%

Towards Factory 4.0 Convergence and divergence of lean models in Italian automotive plants

Moro

Virgillito

2022

IJATM

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This paper studies the interplay in terms of techno-organisational change between the adoption of I4.0 technologies and lean production systems. Leveraging on the results of two field-work analyses conducted under a collaboration with the Sabattini Foundation and the metal workers trade union FIOM in the period 2016-2018, we compare an ensemble of factories producing both high-end/highly customised and low-end products. Emerging patterns of convergence and divergence in the techno-organisational configurations of these factories confirm that this wave of technological innovation is far from leading to total automation or the digital revolution. On the contrary, it appears to be integrated into the historical trend of "leanification" of production processes in the automotive sector, despite the organisational variety shaped by the actual implementation of this production model.

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“…Pardi [8] reviewed the evolution of automotive manufacturing technologies and organizations, and analyzed the impact of "4 th industrial revolution" concepts on their current transformations for employment and work, to assess the potential of digital manufacturing revolution (Industry 4.0) in automation sector.…”

Section: Introductionmentioning

confidence: 99%

Real Time Automation and Ratio Control Using PLC & SCADA in Industry 4.0

Tomar¹,

Kumar²,

Sreejeth³

2023

Computer Systems Science and Engineering

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Industrial Control Systems (ICS) and SCADA (Supervisory Control and Data Acquisition) systems play a critical role in the management and regulation of critical infrastructure. SCADA systems brings us closer to the real-time application world. All process and equipment control capability is typically provided by a Distributed Control System (DCS) in industries such as power stations, agricultural systems, chemical and water treatment plants. Instead of control through DCS, this paper proposes a SCADA and PLC (Programmable Logic Controller) system to control the ratio control division and the assembly line division inside the chemical plant. A specific design and implementation method for development of SCADA/PLC based real time ratio control and automated assembly line system in a chemical plant is introduced. The assembly line division is further divided into sorting stage, filling stage and the auxiliary stage, which includes the capping unit, labelling unit and then the storage. In the ratio control division, we have defined the levels inside the mixer and ratio of the raw materials through human machine interface (HMI) panel. The ratio of raw materials is kept constant on the basis of flow rates of wild stream and manipulated stream. There is a flexibility in defining new levels and the ratios of the raw materials inside the mixer. But here we taken the predefined levels (low, medium, high) and ratios (3:4, 2:1, 2:5). Control valves are used for regulating the flow of the compositions. In the assembly line division, the containers are sorted on the basis of size and type of material used i.e., big sized metallic containers and small sized non-metallic containers by inductive and capacitive proximity sensors. All the processes are facilitated with laser beam type or reflective type sensors on the conveyor system. Building a highly stable and dependable PLC/SCADA system instead of Distributed Control System is required to achieve automatic management and control of chemical industry processes to reduce waste manpower and physical resources, as well as to improve worker safety.

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Fourth industrial revolution concepts in the automotive sector: performativity, work and employment

Cited by 18 publications

References 17 publications

Industry 4.0 Development Multi-Criteria Assessment: An Integrated Fuzzy DEMATEL, ANP and VIKOR Methodology

Industry 4.0 Development Multi-Criteria Assessment: An Integrated Fuzzy DEMATEL, ANP and VIKOR Methodology

Towards Factory 4.0 Convergence and divergence of lean models in Italian automotive plants

Real Time Automation and Ratio Control Using PLC & SCADA in Industry 4.0

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