Mostrar el registro sencillo del ítem
dc.contributor.author
Espinoza Pérez, Andrea Teresa
dc.contributor.author
Rossit, Daniel Alejandro
dc.contributor.author
Tohmé, Fernando Abel
dc.contributor.author
Vásquez, Óscar C.
dc.date.available
2022-10-26T16:08:53Z
dc.date.issued
2022-03
dc.identifier.citation
Espinoza Pérez, Andrea Teresa; Rossit, Daniel Alejandro; Tohmé, Fernando Abel; Vásquez, Óscar C.; Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture; Elsevier Science; Information Fusion; 79; 3-2022; 44-57
dc.identifier.issn
1566-2535
dc.identifier.uri
http://hdl.handle.net/11336/174993
dc.description.abstract
Mass customized and mass personalized production has become facilitated by the fourth industrial revolution. The resulting industrial environments require the development of information systems able to take the specifications of customers and convey them to the production system in such a way as to contribute to the coordination of all the stakeholders and activities required to fulfill the orders of the customers. This is beyond the capabilities of traditional systems based on MRP and ERP, since the information should be managed in a flexible and decentralized way to exploit the Smart Manufacturing facilities of Industry 4.0. Blockchain, instead, is a technology that provides those features constituting a sound information supporting basis for mass customized/personalized production. Consequently, we explore the potential of blockchain as an information technology able to support industries that base their business models on mass customized/personalized production processes. This survey allows us to identify important challenges for further developments, highlighting three issues in the production setting: (i) to deepen the interoperability of systems, (ii) to generate more implementations, and (iii) to develop efficient consensus protocols. As a response to these insights we provide a conceptual design of how blockchain contributes to managing efficiently mass customized production systems. In our design the information of customer specifications can be fused with data from the production process to generate a plan to fulfill the demand. This design arises as a solution approach to three stated problem, which are faced by mass customized production systems.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MASS CUSTOMIZATION/PERSONALIZATION
dc.subject
MANUFACTURING
dc.subject
INDUSTRY 4.0
dc.subject
BLOCKCHAIN TECHNOLOGY
dc.subject
SUPPLY CHAIN
dc.subject
INFORMATION SYSTEMS
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-10-24T13:22:39Z
dc.journal.volume
79
dc.journal.pagination
44-57
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Espinoza Pérez, Andrea Teresa. Universidad de Santiago de Chile; Chile
dc.description.fil
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
dc.description.fil
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Economía; Argentina
dc.description.fil
Fil: Vásquez, Óscar C.. Universidad de Santiago de Chile; Chile
dc.journal.title
Information Fusion
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1566253521001974
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.inffus.2021.09.021
Archivos asociados