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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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Original
Published: 2023-12-29
DOI: https://doi.org/10.56294/dm2023200

A model for Industry 4.0 readiness in manufacturing industries

By
Younes JAMOULI ,
Younes JAMOULI

LINA Laboratory, Higher School of Textile and Clothing Industries. Casablanca, Morocco

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Samir TETOUANI ,
Samir TETOUANI

LINA Laboratory, Higher School of Textile and Clothing Industries. Casablanca, Morocco

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Omar CHERKAOUI ,
Omar CHERKAOUI

LINA Laboratory, Higher School of Textile and Clothing Industries. Casablanca, Morocco

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Aziz SOULHI ,
Aziz SOULHI

LINA Laboratory, Higher School of Textile and Clothing Industries. Casablanca, Morocco

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Abstract

In the context of digital transformation, to assess the current state of manufacturing companies, a readiness model is proposed in this paper. Using a literature review and a framework considering maturity as an 'input' enabler and not as an 'output'. Three dimensions are considered in this model (Organization maturity, Technology maturity, and Process Maturity), to assess the company readiness (Ready or Not ready). Allowing compagnies to identify their readiness for Industry 4.0 (I4.0) adoption, by developing a decision support model, is the goal of this research. This model based on Fuzzy Inference System, considers the three decision criteria and then ranks the enterprise according to its output indicator. For the validation of this proposed model, an experimental study was conducted to assess the readiness of 2 manufacturing companies, a multinational in automotive sector and an SME in Apparel sector. The proposed model meets the desired objective and is therefore retained for the evaluation of the readiness to I4.0 in different manufacturing contexts.

Keywords:

Digital Technologies,
Readiness model,
Adoption,
Fuzzy logic,

How to Cite

1.
JAMOULI Y, TETOUANI S, CHERKAOUI O, SOULHI A. A model for Industry 4.0 readiness in manufacturing industries. Data and Metadata [Internet]. 2023 Dec. 29 [cited 2024 Jul. 4];2:200. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/200

Copyright Notice

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. 2 (2023)
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