2018 IEEE 16th International Conference on Industrial Informatics (INDIN) 2018
DOI: 10.1109/indin.2018.8472011
|View full text |Cite
|
Sign up to set email alerts
|

Utilizing Blockchain Technology in Industrial Manufacturing with the help of Network Simulation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(5 citation statements)
references
References 10 publications
0
5
0
Order By: Relevance
“…The phases are descripted and summarised in Table 5 and the implementation is illustrated in Figure 5. As shown in Kobzan et al, [13], a permissioned blockchain-based data sharing solutions for supply chain was released by IBM. Blockchain has also been used in the tracking and monitoring of logistics information.…”
Section: Data Valuementioning
confidence: 99%
“…The phases are descripted and summarised in Table 5 and the implementation is illustrated in Figure 5. As shown in Kobzan et al, [13], a permissioned blockchain-based data sharing solutions for supply chain was released by IBM. Blockchain has also been used in the tracking and monitoring of logistics information.…”
Section: Data Valuementioning
confidence: 99%
“…The proposed model was limited to only some applications and not fully developed for many applications. The authors of [161] investigated various industrial requirements such as scalability and adaptability of the network with the implementation using OMNeT++ network simulator. Their approach was efficient up to the first fourteen participating lines and no uncertainty was identified.…”
Section: Manufacturingmentioning
confidence: 99%
“…The proposed paradigm was limited to some applications and incomplete to others. According to [98], the OMNeT++ simulator was used to assess industrial network needs such as scalability and flexibility. To evaluate existing BC-based manufacturing systems.…”
Section: ) Smart Manufacturingmentioning
confidence: 99%