smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing

Neal, Aaron D.; Sharpe, Richard; Conway, Paul; West, Andrew A.

doi:10.1016/j.jmsy.2019.04.011

Cited by 29 publications

(10 citation statements)

References 48 publications

(59 reference statements)

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“…Opt_nodes set ← UDAS_D i (11) delete UDAS_D i from UDAS_D (12) end-if (13) end-for (14) return Opt_nodes set ALGORITHM 2: Data storage node selection. 4 Mobile Information Systems shorter than that of baselines, and the data access time increases slowly.…”

Section: Random Topologymentioning

confidence: 99%

“…At present, industry 4.0 not only takes intelligent development as the primary target but also extensively applies advanced measures such as information technology, information interaction, and process reengineering. Based on meeting the personalized and di erentiated needs of di erent consumers, exible production is performed to achieve maximum decision optimization [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Industry 4.0 Oriented Distributed Infographic Design

2022

Mobile Information Systems

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Since industry 4.0 was put forward in 2013, industrial process around the world has been moving rapidly towards the age of intelligent manufacturing. Industry 4.0 is known as the fourth industrial revolution dominated by intelligent manufacturing, which has changed the production mode of global manufacturing and triggered far-reaching industrial changes. However, when intelligent machines communicate with each other under industrial 4.0, a large amount of data adopting distributed control will be generated. The infographic in the data is mainly a visual design of industry 4.0 data. Therefore, this paper mainly studies the distributed data optimization processing for industry 4.0. Considering that data leakage is one of the biggest challenges faced by the data storage systems, this paper proposes a data storage method that considers the efficiency and security of data access. The concept of security distance not only guarantees data security but also takes into account the emphasis of different user groups on data security. To minimize data access time, this paper proposes a data access node selection algorithm to minimize data access time while ensuring data security. The simulation proves that compared with baselines, the data access time of the proposed algorithm in random topology and Internet2 topology is less than that of the current data storage algorithm while ensuring data security. The experimental results are simulated on Internet2 topology and random topology with Matlab and Omnet + + simulation platform, showing that the proposed algorithm can select the optimal data storage node under the condition of satisfying the security distance constraint, thus reducing the data access time.

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Section: Random Topologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Industry 4.0 Oriented Distributed Infographic Design

2022

Mobile Information Systems

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“…Most of the papers in Logistics 4.0 mention just one (primary) industrial sector. However, other papers mention more than one application field; this is for instance the case for multiple case studies [37,57,58]. Therefore, the total number of applications is higher than the number of studies examined.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

“…To be more effective, however, Figure 6 is limited to the industrial sectors that presented at least three application papers. In total, eighteen different industrial sectors were identified in the sample of papers examined; those not shown in Figure 6 are: courier [59,60] agriculture [61,62] and electrical [51,57] -with two papers each; serious games [54], packaging [53], maintenance, repair and operations parts [63], petroleum [57] and jewellery [64] -with only one paper each. From Figure 6 it can be seen that 70 papers do not indicate any specific application field for Logistics 4.0.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

Industry 4.0 in the logistics field: A bibliometric analysis

Bigliardi

Casella

Bottani

2021

IET Collab Intel Manufact

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Logistics plays an essential role in supply chain management to plan and coordinate the movement of products in a timely, safely and effectively way. The recent term Logistics 4.0 focusses on the specific applications of Industry 4.0 in the area of logistics and was created as an integral part of the Industry 4.0 concept. This study aims to contribute to the state-of-the-art about this topic by analysing and reviewing the scientific literature relating to Industry 4.0 applied to the logistics field. By means of a query on the Scopus database (www.scopus.com), 131 articles were retrieved and judged in line with the research topic. A bibliometric analysis identified the most relevant articles, authors, keywords, countries and journals on this subject. To the best of the authors' knowledge, this is the first systematic review of Logistics 4.0 using bibliometric analysis. Finally, the research gaps identified will provide a reference point that will encourage and guide interested researchers for future study. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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“…These are expressed formally in the RFID SCO. The part of the tagging entity that can be tagged has to have at least one surface available for tagging, which can be identified by either an end user or a simulation tool (Neal et al ., 2019). The set of surfaces recommended for tagging is a subset of the surfaces available for tagging and is determined by the position of the reader antenna.…”

Section: The Ontology Development Processmentioning

confidence: 99%

Enhancing RFID system configuration through semantic modelling

Tsalapati

Tribe

Goodall

et al. 2021

The Knowledge Engineering Review

Self Cite

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Radio-Frequency Identification (RFID) system technology is a key element for the realization of the Industry 4.0 vision, as it is vital for tasks such as entity tracking, identification and asset management. However, the plethora of RFID systems’ elements in combination with the wide range of factors that need to be taken under consideration along with the interrelations amongst them, make the problem of identification and design of the right RFID system, based on users’ needs particularly complex. The research outlined in this paper seeks to optimize this process by developing an integrating schema that will encapsulate this information in a form that is both human and machine processible. Human readability will allow a shared understanding of the RFID technology domain; machine readability, automated reasoning engines to perform logical deduction techniques returning implicit information. For this purpose, the novel RFID System Configuration Ontology (RFID SCO) is developed. Hence, non-RFID experts are enabled to identify the most suitable RFID system according to their needs and RFID experts to retrieve all the relevant information required for the efficient design of the corresponding RFID system. The RFID SCO is validated and tested successfully against real-world scenarios provided by domain experts.

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smaRTI—A cyber-physical intelligent container for industry 4.0 manufacturing

Cited by 29 publications

References 48 publications

Industry 4.0 Oriented Distributed Infographic Design

Industry 4.0 Oriented Distributed Infographic Design

Industry 4.0 in the logistics field: A bibliometric analysis

Enhancing RFID system configuration through semantic modelling

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