Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

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Title: Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review
Authors: Jimeno-Morenilla, Antonio | Azariadis, Philip | Molina-Carmona, Rafael | Kyratzi, Sofia | Moulianitis, Vassilis
Research Group/s: UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante | Grupo de Investigación en Tecnologías Inteligentes para el Aprendizaje (Smart Learning)
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Industry 4.0 | Traditional sectors | SMEs | Technology enablers | IoT | Cloud manufacturing
Knowledge Area: Arquitectura y Tecnología de Computadores | Ciencia de la Computación e Inteligencia Artificial
Issue Date: Feb-2021
Publisher: Elsevier
Citation: Computers in Industry. 2021, 125: 103390.
Abstract: The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys, among others) are based on small and medium enterprises with limited capacity on investing in modern production technologies. Although these sectors rely heavily on product customization and short manufacturing cycles, they are still not able to take full advantage of the fourth industrial revolution. Industry 4.0 surfaced to address the current challenges of shorter product life-cycles, highly customized products and stiff global competition. The new manufacturing paradigm supports the development of modular factory structures within a computerized Internet of Things environment. With Industry 4.0, rigid planning and production processes can be revolutionized. However, the computerization of manufacturing has a high degree of complexity and its implementation tends to be expensive, which goes against the reality of SMEs that power the traditional sectors. This paper reviews the main scientific-technological advances that have been developed in recent years in traditional sectors with the aim of facilitating the transition to the new industry standard.
Sponsor: This research was supported by the Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF) under the project CloudDriver4Industry TIN2017-89266-R.
ISSN: 0166-3615 (Print) | 1872-6194 (Online)
DOI: 10.1016/j.compind.2020.103390
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2020 Elsevier B.V.
Peer Review: si
Publisher version:
Appears in Collections:INV - UNICAD - Artículos de Revistas
INV - Smart Learning - Artículos de Revistas

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