A model for Industry 4.0 readiness in manufacturing industries

Younes Jamouli, Samir Tetouani, Omar Cherkaoui and Aziz Soulhi

Data and Metadata, 2023, vol. 2, 200

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

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:2:y:2023:i::p:200:id:1056294dm2023200

DOI: 10.56294/dm2023200

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