Pythagorean Fuzzy AHP Approach for Evaluating the Importance Level of Industry 4.0 Technologies in the Automotive Manufacturing Industry

Abstract

To succeed in the rapidly advancing technological environment driven by Industry 4.0, automotive manufacturers need to swiftly embrace new technologies. Moreover, the ability to introduce innovations to the market more quickly and sustainably hinges on the integration of Industry 4.0 technologies. The automotive industry plays a crucial role in boosting the economy, generating a multiplier impact in Türkiye, much like it does in various countries around the world. Therefore, keeping a close eye on the digital transformation of the automotive industry is critical for establishing a cost-efficient, productive, and competitive market in a rapidly developing market. This study aims to indicate the importance level of Industry 4.0 technologies for automotive manufacturers operating in Türkiye. The Analytic Hierarchy Process (AHP) method based on Pythagorean fuzzy sets was employed to achieve this aim. Pythagorean fuzzy sets are a contemporary fuzzy approach that gives experts more freedom to express their judgments regarding uncertainty and ambiguity in decision-making problems. The study results reveal that the top three most important technologies in the automotive manufacturing industry are “simulation and modeling”, “autonomous robots”, and “big data and analytics”, respectively. However, blockchain technology ranked lowest in terms of importance level. The proposed approach will serve as a guide for decision-makers in selecting the appropriate Industry 4.0 technology in the automotive industry.

Keywords

• Automotive industry
• Industry 4.0 technologies
• Multi-criteria decision-making
• Pythagorean fuzzy AHP

References

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