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A proposal of decentralised architecture for optimised operations in manufacturing ecosystem collaboration

Authors: Eirinakis, Pavlos; Buenabad-Chavez, Jorge; Fornasiero, Rosanna; Gokmen, Haluk; Mascolo, Julien-Etienne; Mourtos, Ioannis; Spieckermann, Sven; +3 Authors

A proposal of decentralised architecture for optimised operations in manufacturing ecosystem collaboration

Abstract

This paper describes an innovative approach to adopt the next-generation manufacturing paradigm based on flexible production units and eco-systems that can be quickly reprogrammed to provide fast time-to-market responses to global consumer demand, address mass-customisation needs and bring life to innovative products. The approach utilises the capabilities offered by digitalisation to facilitate (i) in-depth (self-) monitoring of machines and processes, (ii) decision support and decentralised (self-) adjustment of production, (iii) effective collaboration of the different IoT-connected machines with tools, services and actors (iv) seamless communication of information and decisions from and to the plant floor and (v) efficient interaction with value chain partners. The paper presents the conceptual architecture under development to support those functionalities for two specific domains in manufacturing.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
Average
Average
Average
Funded by
EC| DISRUPT
Project
DISRUPT
Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration
  • Funder: European Commission (EC)
  • Project Code: 723541
  • Funding stream: H2020 | RIA
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