Enabling Technologies for Operator 4.0: A Survey

Ruppert, Tamás; Jaskó, Szilárd; Holczinger, Tibor; Abonyi, János

doi:10.3390/app8091650

Cited by 177 publications

(103 citation statements)

References 135 publications

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“…At the heart of IoT lie heterogeneous communication networks, including fifth generation (5G) networks, Wi-Fi, machine-to-machine (M2M) deployments and cloud technologies (cloud, fog, edge) [10][11][12]. At the same time, humans should maintain an important role in the Industry 4.0 environments, empowered with smart devices, virtual and augmented reality (VR/AR), being in the loop of the manufacturing process and taking advantage of the AI/ML-based decision-making [13]. Thus, considering these advanced technologies, Industry 4.0 promises to radically change the current industrial production processes benefiting industrial stakeholders, personnel and consumers, promoting environmental sustainability.…”

Section: Industry 40mentioning

confidence: 99%

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Angelopoulos

Michailidis

Νομικός

et al. 2019

Sensors

238

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The recent advancements in the fields of artificial intelligence (AI) and machine learning (ML) have affected several research fields, leading to improvements that could not have been possible with conventional optimization techniques. Among the sectors where AI/ML enables a plethora of opportunities, industrial manufacturing can expect significant gains from the increased process automation. At the same time, the introduction of the Industrial Internet of Things (IIoT), providing improved wireless connectivity for real-time manufacturing data collection and processing, has resulted in the culmination of the fourth industrial revolution, also known as Industry 4.0. In this survey, we focus on the vital processes of fault detection, prediction and prevention in Industry 4.0 and present recent developments in ML-based solutions. We start by examining various proposed cloud/fog/edge architectures, highlighting their importance for acquiring manufacturing data in order to train the ML algorithms. In addition, as faults might also occur from sources beyond machine degradation, the potential of ML in safeguarding cyber-security is thoroughly discussed. Moreover, a major concern in the Industry 4.0 ecosystem is the role of human operators and workers. Towards this end, a detailed overview of ML-based human–machine interaction techniques is provided, allowing humans to be in-the-loop of the manufacturing processes in a symbiotic manner with minimal errors. Finally, open issues in these relevant fields are given, stimulating further research.

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Section: Industry 40mentioning

confidence: 99%

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Angelopoulos

Michailidis

Νομικός

et al. 2019

Sensors

238

View full text Add to dashboard Cite

show abstract

“…The Industry 4.0 is a widely researched area, systematic literature reviews are frequently published [5] [9] [10] [11]. Most research papers in this area are mainly focused on the technological aspects [12] [13] [14] but the human operators also are important part of the production systems [15] [16] [17] [18] [19]. The newest development of IoT devices has the possibility to design machines which can replace human minds [20].…”

Section: Industry 40 and Learning Factoriesmentioning

confidence: 99%

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

Bakon

Skrop

Jaskó

et al. 2019

Anal. Tech. Szeged.

Self Cite

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One of the new challenges of the 21st century is the Industry 4.0. Manufacturing companies moving away from mass production and getting closer to customized production and manufacturing of customized products through digitization. The expectations are high, meeting the requirements is a real challenge to industrial partners. In order to help meet the challenges the University of Pannonia Nagykanizsa Campus started to establish a fully automatized industrial laboratory. In this paper the architecture of the Industry 4.0 laboratory and the purpose of the Factory Subsystem is presented.

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“…In addition, increased customer benefits resulting from IT integration should generate more revenue [26]. Manufacturing companies also expect higher customer loyalty through the development of services and see this as an opportunity for differentiation [7]. IT integration and the development of novel services can be combined by means of Industry 4.0, thus combining the advantages of the two components.…”

Section: Potentials For Industry 40 Solution Providersmentioning

confidence: 99%

“…However, SMEs only have limited financing possibilities as compared to large companies [1,6]. Further, their access to trained personnel in the context of information technology (IT) is limited [7] and the integrations of humans into the concept of Industry 4.0 prove to be challenging [8,9]. In addition to the challenges, there are also many advantages and opportunities for SMEs that result from Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

Business Model Innovation of Industry 4.0 Solution Providers Towards Customer Process Innovation

Müller

Däschle

2018

Processes

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The article investigates the role of business model innovation by Industry 4.0 solution providers and their impact on process innovation of their customers. Industry 4.0 solution providers are hereby seen as the enablers and providers of Industry 4.0 technologies, which provide access to several potentials of Industry 4.0 technologies to their customers. In particular, the role of small and medium-sized enterprises (SMEs) that provide solutions that are based on Industry 4.0 technologies for their customers are investigated, which in turn can improve and innovate their own processes. Frist, the article presents an overview of the current state of research and a brief theoretical background. Second, the article bases its findings on an empirical study of 111 Industry 4.0 providers from Germany that are SMEs. Analyzing the results of questionnaires, correlations between Industry 4.0 solutions and two perspectives are examined: benefits for the solution providers and benefits for process improvements and innovations of the customers. Subsequently, the article discusses these findings, closing the article with both managerial and research implications.

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Enabling Technologies for Operator 4.0: A Survey

Cited by 177 publications

References 135 publications

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

Business Model Innovation of Industry 4.0 Solution Providers Towards Customer Process Innovation

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