Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model

Görçün, Ömer Faruk; Mishra, Arunodaya Raj; Aytekin, Ahmet; Simic, Vladimir; Korucuk, Selçuk

doi:10.1016/j.jmsy.2024.05.005

Journal of Manufacturing Systems

2024

DOI: 10.1016/j.jmsy.2024.05.005

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Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model

Ömer Faruk Görçün,

Arunodaya Raj Mishra,

Ahmet Aytekin

et al.

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Cited by 6 publications

References 110 publications

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Exploring engineering applications of two-sided partial destructive disassembly line balancing problem under electrical limiting and time-of-use pricing

Guo,

Zhang,

Zhang

et al. 2025

Expert Systems with Applications

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Exploring engineering applications of two-sided partial destructive disassembly line balancing problem under electrical limiting and time-of-use pricing

Guo,

Zhang,

Zhang

et al. 2025

Expert Systems with Applications

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Industry 4.0 implementation barriers in automotive manufacturing industry: Interpretive structural modelling approach

Ojha,

Kumar,

Kumar

et al. 2024

Concurrent Engineering

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Industry 4.0 manufacturing practices are the trends of automation and data exchange, which involve heavy investment to adopt the latest modern technologies for improving the manufacturing process in terms of productivity, efficiency, flexibility, and profitability. In this context, the current study focuses on the key implementation barriers of Industry 4.0 in the automotive industry. An interpretive structural model of the barriers to implement Industry 4.0 in the automotive industry has been proposed to create a hierarchical order of key barriers, find the relationships among them, and create a graphical model of the system. Based on the review of available literature and discussion with experts in the automotive field, thirteen barriers have been identified to frame the model. Further, out of these thirteen, two barriers have been found to be dependent, another two as driving barriers, the remaining nine as linkage barriers, and none as autonomous barriers. Based on the developed model, ‘Great Risk of Obsolescence’ has been found to be the top-level dependent barrier and geographical risk to be the lowest-level independent barrier. A clear comprehension of the interactions between the key barriers can help in deciding priorities and managing the same to have higher efficacy and efficiency in implementing Industry 4.0. Overall, we aim to identify Industry 4.0 barriers in the automotive industry and prioritize them during the implementation of Industry 4.0. The structured model, so designed and developed, is expected to facilitate the understanding of the interdependence of the barriers of the Industry 4.0 manufacturing system amid its implementation.

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Understanding the Relationship Between Digital Transformation in Industry and ODS 9 Through the Lens of Bibliometrics

Fernandes,

Silva,

Passos

et al. 2024

RGSA

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Objective: The objective of this study was to analyze the relationship between digital transformation in industry and Sustainable Development Goal (SDG) 9. Theoretical Framework: This study was based on concepts related to digital transformation in the context of industry, in relation to sustainability and specifically SDG 9, which were adopted in the discussion of the results generated. Method: The study adopted a bibliometric approach as its main method, using VOSviewer software to carry out analyses of the co-occurrence of terms, density clusters and mapping of collaboration between countries, using data from the Web of Science scientific database. Results and Discussion: The results indicated five main thematic groups, in which terms related to sustainability, technological adaptation and digitalization stand out, which have proved crucial in promoting a sustainable industry. Research Implications: The practical and theoretical implications suggest that digital transformation can drive sustainable industrialization, with an impact on sectors such as energy and construction, indicating the need for policies to encourage sustainable innovation. Originality/Value: This study contributes by highlighting how digital transformation, especially in industries, can support sustainable development, offering a new perspective on the impact of digital technologies on industrial sustainability.

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Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model

Cited by 6 publications

References 110 publications

Exploring engineering applications of two-sided partial destructive disassembly line balancing problem under electrical limiting and time-of-use pricing

Exploring engineering applications of two-sided partial destructive disassembly line balancing problem under electrical limiting and time-of-use pricing

Industry 4.0 implementation barriers in automotive manufacturing industry: Interpretive structural modelling approach

Understanding the Relationship Between Digital Transformation in Industry and ODS 9 Through the Lens of Bibliometrics

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