Proportional Pythagorean Fuzzy AHP & TOPSIS Methodology for the Evaluation of Industry 5.0 Projects

ÇEBİ S., Uçal Sarı İ., Kahraman C., Öztayşi B., Çevik Onar S., Tolga C.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, vol.43, no.4-6, pp.523-548, 2024 (SCI-Expanded) identifier identifier

  • Nəşrin Növü: Article / Article
  • Cild: 43 Say: 4-6
  • Nəşr tarixi: 2024
  • jurnalın adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, zbMATH
  • Səhifə sayı: pp.523-548
  • Adres: Yox

Qısa məlumat

The term, Industry 5.0 refers to a transformation in production systems with the key priorities: human-machine collaboration, sustainability, and social responsibility. The focus of Industry 5.0 on intelligent collaboration between human operators and machines brings a potential for efficiency and innovation for companies. In order to realize these potential benefits, organizations need to initiate new projects and make new investments. From the organization's perspective, this brings a project prioritization and selection problem. The project selection problem refers to the evaluation of potential projects according to various criteria and make a decision on initiating the project. By its nature, the problem is a multi- criteria decision-making problem since it involves various criteria. In this study, a decision model involving six criteria, namely compatibility, scalability, reliability, security, cost-effectiveness, and human-machine collaboration is developed. A hybrid decision-making model that integrates Proportional Pythagorean Fuzzy AHP & TOPSIS is proposed to solve the Industry 5.0 selection problem. The sensitivity analysis, comparative analysis, and discussions with decision-makers reveal that the proposed approach provides a robust, and easy-to-use methodology.