Journal ArticleDOI
Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools
Tania Cerquitelli,Daniele Jahier Pagliari,Andrea Calimera,Lorenzo Bottaccioli,Edoardo Patti,Andrea Acquaviva,Massimo Poncino +6 more
- Vol. 109, Iss: 4, pp 399-422
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TLDR
In this article, the authors discuss the latest software technologies needed to collect, manage and elaborate all data generated through innovative Internet-of-Things (IoT) architectures deployed over the production line, with the aim of extracting useful knowledge for the orchestration of high-level control services that can generate added business value.Abstract:
In recent years, the introduction and exploitation of innovative information technologies in industrial contexts have led to the continuous growth of digital shop floor environments. The new Industry 4.0 model allows smart factories to become very advanced IT industries, generating an ever-increasing amount of valuable data. As a consequence, the necessity of powerful and reliable software architectures is becoming prominent along with data-driven methodologies to extract useful and hidden knowledge supporting the decision-making process. This article discusses the latest software technologies needed to collect, manage, and elaborate all data generated through innovative Internet-of-Things (IoT) architectures deployed over the production line, with the aim of extracting useful knowledge for the orchestration of high-level control services that can generate added business value. This survey covers the entire data life cycle in manufacturing environments, discussing key functional and methodological aspects along with a rich and properly classified set of technologies and tools, useful to add intelligence to data-driven services. Therefore, it serves both as a first guided step toward the rich landscape of the literature for readers approaching this field and as a global yet detailed overview of the current state of the art in the Industry 4.0 domain for experts. As a case study, we discuss, in detail, the deployment of the proposed solutions for two research project demonstrators, showing their ability to mitigate manufacturing line interruptions and reduce the corresponding impacts and costs.read more
Citations
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Journal ArticleDOI
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Matteo Risso,Alessio Burrello,Francesco Conti,Lorenzo Lamberti,Yukai Chen,Luca Benini,Enrico Macii,Massimo Poncino,Daniele Jahier Pagliari +8 more
TL;DR: In this paper , Risso et al. proposed the first NAS tool that explicitly targets the optimization of the most peculiar architectural parameters of TCNs, namely dilation, receptive-field and number of features in each layer.
Journal ArticleDOI
Response Surface Methodology Using Observational Data: A Systematic Literature Review
TL;DR: The findings highlight the novelty of observational-data-based RSM (RSM-OD) for generating reproducible results involving the discussion of the treatments for observational data as an alternative to the DoE, the refinement of the RSM model to fit the data, and the adaptation of the optimization technique.
Journal ArticleDOI
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
TL;DR: In this paper , the authors propose the first NAS tool that explicitly targets the optimization of the most peculiar architectural parameters of TCNs, namely dilation, receptive-field and number of features in each layer.
Journal ArticleDOI
Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry
Hajar Nouinou,Elnaz Asadollahi-Yazdi,Isaline Baret,Nhan-Quy Nguyen,Mourad Terzi,Yassine Ouazene,Farouk Yalaoui,Russell Kelly +7 more
TL;DR: In this paper , a systematic literature review of research articles associated with decision-making in the Industry 4.0 era is performed with a focus on the textile and clothing industry, and a content analysis was performed using tables and graphs featuring quantitative results which are grounded on the proposed taxonomy.
Journal ArticleDOI
The Development of an Information Technology Architecture for Automated, Agile and Versatile Companies with Ecological and Ethical Guidelines
TL;DR: In this paper , the authors discuss the requirements for an architecture and behavior that a versatile, agile company needs to accompany the constantly changing framework conditions of the market and the technology used and the available resources, including the human resources, need to be adapted as early as possible.
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