An integrated Pythagorean fuzzy-based methodology for sectoral prioritization of industry 4.0 with lean supply chain perspective


KAYA İ., KARAŞAN A., İLBAHAR E., Cebeci B.

International Journal of Computer Integrated Manufacturing, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1080/0951192x.2024.2331526
  • Dergi Adı: International Journal of Computer Integrated Manufacturing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, INSPEC
  • Anahtar Kelimeler: Industry 4.0, lean supply chain, multi-criteria decision-making, Pythagorean fuzzy sets, transition
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Transition strategies to industry 4.0 (I4.0) have recently become crucial for an optimal human and technology interaction environment in business areas, which aims to reach a production system with minimum errors, scraps and reworks through computerized monitoring and traceability of out-of-control situations with high-quality products and minimum cost. Thus, the transition process of I4.0 can be considered a critical decision-making problem. Since the process consists of a wide range of impact areas, such as employees, workers, environment, and society, it should be considered in a multi-way perspective to obtain an acceptable roadmap. By minimizing the loss of information, this paper proposes a fuzzy methodology, DEMATEL, Cognitive Mapping (CM), and TOPSIS techniques, to analyse the sectoral prioritization of the I4.0 transition. The DEMATEL method is applied to identify the dependencies of the criteria. The criterion ‘Suitability of technological infrastructure’ is determined as the most effective one. The CM method is used to determine the weight of the criteria, in which ‘Technological Infrastructure Suitability’, and ‘Digitalization Level of Processes’ is the most important ones, respectively. Considered sectors are also prioritized by using the TOPSIS method. Finally, comparison and sensitivity analyses are performed for discussions on the transition process and possible outcomes.