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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Systematic reviews or meta-analyses
Published: 2024-06-22
DOI: https://doi.org/10.56294/dm2024360

Literature review on artificial intelligence in dyeing and finishing processes

By
Mostafa Elkhaoudi ,
Mostafa Elkhaoudi

Higher School of Textile and Clothing Industries, Casablanca Morocco

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Mhammed El Bakkali ,
Mhammed El Bakkali

Higher School of Textile and Clothing Industries, Casablanca Morocco

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Redouane Messnaoui ,
Redouane Messnaoui

Higher School of Textile and Clothing Industries, Casablanca Morocco

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Omar Cherkaoui ,
Omar Cherkaoui

Higher School of Textile and Clothing Industries, Casablanca Morocco

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Aziz Soulhi ,
Aziz Soulhi

National Higher School of Mines of Rabat, Morocco

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Abstract

The finishing process in the textile sector is recognized as one of the most complex. This complexity arises from the diversity of structures, the multiple steps involved, the use of complex machinery, the variety of materials, chemicals and dyes, and the need to combine creativity and precision. Therefore, it is crucial to have tools that can improve efficiency, flexibility, and decision-making in this complex area. This literature review aims to provide relevant information on the use of digital engineering in the field of textile finishing. In this review, we used a systematic literature review methodology to examine how digital engineering is applied in the dyeing and finishing process. The data for this study was collected from reputed databases such as Science Direct, IEEE Xplore, Textile Research Journal and Google Scholar. We used the Prisma framework to select relevant articles, which led to the exclusive inclusion of journal articles in our literature review. A comprehensive framework has been developed to understand the impacts of using digital engineering. The approach presented in this framework provides a comprehensive and highly effective approach to addressing the complex challenges associated with ambiguity, modifications and subtleties frequently observed in the ennobling process. The results of various studies explored different aspects, such as properties of textile materials, chemicals and dyes, performance of finishing machines, organizational performance of finishing companies, as well as health concerns and safety at work. Although these studies have provided valuable solutions, they unfortunately remain insufficient to meet the requirements of the finishing process, which remains a complex area characterized by uncertainties, variations, and subtleties inherent to the practice. This particularity of each dyed and finished product promotes an environment conducive to experimentation and continued research.

Keywords:

fuzzy logic,
artificial neural network,
genetic algorithm,
expert system,
dyeing,
finishing,

How to Cite

1.
Elkhaoudi M, El Bakkali M, Messnaoui R, Cherkaoui O, Soulhi A. Literature review on artificial intelligence in dyeing and finishing processes. Data and Metadata [Internet]. 2024 Jun. 22 [cited 2024 Jul. 3];3:360. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/360

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The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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Vol. 3 (2024)
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