2017 IEEE 15th International Conference on Industrial Informatics (INDIN) 2017
DOI: 10.1109/indin.2017.8104841
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Energy efficiency in industry 4.0 using SDN

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Cited by 18 publications
(12 citation statements)
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“…A very limited number of respondents declared considering Industry 4.0 as an opportunity to improve their companies. This evidence differs from the findings of previous studies [82], indicating environmental opportunities as relevant drivers for a tendency towards Industry 4.0 [20,28]. Another relevant study on this field showed with a higher degree of details that green production in general, as well as energy and resource management, resulted as high priority within the surveyed sample of companies [22].…”
Section: General Discussion Of Resultscontrasting
confidence: 87%
“…A very limited number of respondents declared considering Industry 4.0 as an opportunity to improve their companies. This evidence differs from the findings of previous studies [82], indicating environmental opportunities as relevant drivers for a tendency towards Industry 4.0 [20,28]. Another relevant study on this field showed with a higher degree of details that green production in general, as well as energy and resource management, resulted as high priority within the surveyed sample of companies [22].…”
Section: General Discussion Of Resultscontrasting
confidence: 87%
“…Correspondingly, Big Data Analytics refers to techniques adopted to analyze and acquire intelligence from big data [39], and cloud computing is "a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction" [40]. Cognition properly presents the acquired knowledge to expert users and supports the correct decision to be taken [36], which is similar to what VR and AR aim for as a decision support tool [9,41]. Configuration is the feedback level from cyber space to physical space and acts as "supervisory control to make machines self-configure and self-adaptive" [36], similar to what IAI aims for "to make the hidden problems in an industrial system explicit, then managing and avoiding them while they remain hidden" [42].…”
Section: Digitalization and Industry 40 Related Technologiesmentioning
confidence: 99%
“…Real-time data monitoring tracks the consumption of resources (like energy and water) and waste generation, and then responds to production management [6,9,65], enabling green manufacturing. Santos et al (2019) show a dramatic reduction in the energy bill of €500 per year reached by the "plug&glean" implementation to track energy consumption [53].…”
Section: Cps and Connection Level (Iiot)mentioning
confidence: 99%
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