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Blockchain-based shared additive manufacturing
ID
Lupi, Francesco
(
Author
),
ID
Cimino, Mario G.C.A.
(
Author
),
ID
Berlec, Tomaž
(
Author
),
ID
Galatolo, Federico A.
(
Author
),
ID
Corn, Marko
(
Author
),
ID
Rožman, Nejc
(
Author
),
ID
Rossi, Andrea
(
Author
),
ID
Lanzetta, Michele
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S0360835223005211
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Abstract
Today, globalized markets require more resilient and agile manufacturing systems, as well as customized and virtualized features. Classical self-standing manufacturing systems are evolving into collaborative networks such as Cloud Manufacturing (based on centralized knowledge and distributed resources) or Shared Manufacturing (based on fully decentralized knowledge and distributed resources) as a solution to ensure business continuity under normal as well as special circumstances. Additive Manufacturing (AM), one of the enablers of Industry 4.0 (I4.0), is a promising technology for innovative production models due to its inherent distributed capabilities, digital nature, and product customization ability. To increase the adaptivity of distributed resources using AM technology, this paper proposes a mechanism for sharing workload and resources under unexpected behaviours in the supply chain. Smart contracts and blockchain technology in this concept are used to provide decentralized, transparent, and trusted operation of such systems, which provide more resilience to disruptive factors. In this paper, the proposed Blockchain-based Shared Additive Manufacturing (BBSAM) protocol, ontology, and workflow for AM capacity pooling are discussed and analysed under special conditions such as anomalous demand. Discrete-time Python simulation on a real Italian AM market dataset, also provided, is available on GitHub.
Language:
English
Keywords:
distributed manufacturing
,
additive manufacturing
,
shared manufacturing
,
resilience
,
resource sharing
,
smart contract
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
12 str.
Numbering:
Vol. 183, art. 109497
PID:
20.500.12556/RUL-148349
UDC:
621.7+621.9
ISSN on article:
0360-8352
DOI:
10.1016/j.cie.2023.109497
COBISS.SI-ID:
161562627
Publication date in RUL:
18.08.2023
Views:
720
Downloads:
43
Metadata:
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Record is a part of a journal
Title:
Computers & industrial engineering
Shortened title:
Comput. ind. eng.
Publisher:
Pergamon
ISSN:
0360-8352
COBISS.SI-ID:
4909066
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
porazdeljena proizvodnja
,
aditivna proizvodnja
,
deljena proizvodnja
,
odpornost
,
pametna pogodba
,
skupna raba virov
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
Italian Ministry of University and Research
Project number:
National Recovery and Resilience Plan
Funder:
Other - Other funder or multiple funders
Funding programme:
University of Pisa
Project number:
PRA_2022_101
Name:
Decision Support Systems for territorial networks for managing ecosystem servce
Funder:
Other - Other funder or multiple funders
Funding programme:
Erasmus + staff mobility
Project number:
KA1-HE-52/20
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