Versatile edge gateway for improving manufacturing supply chain management via collaborative networks

As a natural consequence of Industry 4.0 demands related to industrial processes control digitization, the smart manufacturing (SM) concept was enriched by integrating advanced technologies of digital information processing. This paper presents an original solution for improving the most representat...

Full description

Saved in:
Bibliographic Details
Published in:International journal of computer integrated manufacturing 2021-04, Vol.34 (4), p.407-421
Main Authors: Dobrescu, Radu, Mocanu, Stefan, Chenaru, Oana, Nicolae, Maximilian, Florea, Gheorghe
Format: Article
Language:English
Subjects:
cloud Computing
edge Computing
edge Gateway
industrial Internet of Things
Smart Manufacturing
supply Chain Management
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:As a natural consequence of Industry 4.0 demands related to industrial processes control digitization, the smart manufacturing (SM) concept was enriched by integrating advanced technologies of digital information processing. This paper presents an original solution for improving the most representative instance of SM, namely, supply chain management (SCM), by using the most recent approach in hierarchical networked control systems (HNCS), that is Edge Computing. The paper presents both the software and hardware architecture of an Edge Gateway device which offers, on one hand, dual communication both on vertical (between the network layers from the local, inferior, represented by IIoT, to the central, superior, represented by the Cloud) and on horizontal (between similar devices located on the same Edge level) and, on the other hand, can locally process data to take fast decisions which facilitate real-time process control. The validity of the proposed solution is supported by a case study performed on a flexible assembly/disassembly line (laboratory model).
ISSN:0951-192X
1362-3052
DOI:10.1080/0951192X.2021.1879401