Application of extended Pythagorean fuzzy TOPSIS method for evaluating smart containers

Industry 5.0 introduces 'Society 5.0' along with the concept of Industry 4.0 which engages customisation with smart systems and provides smart logistics and supply chain management. As a significant component of smart logistic systems smart containers have gained global attention from academia and industry due to their flexible and traceable features to optimise logistic networks. However, the value-driven complexities of Industry 5.0 make it challenging for users to identify the best smart container. This study addresses this issue by applying an extended Pythagorean fuzzy TOPSIS (PF-TOPSIS) method, an advanced multi-criteria decision-making approach that integrates Pythagorean fuzzy sets to handle uncertainty in evaluating complex criteria. In the application section, five different smart containers are examined based on nine different diverging criteria. PF-TOPSIS method enhances the selection approach by incorporating membership, non-membership and degree of hesitation allowing for a more nuanced evaluation. The outcome shows that the usability and adaptation of decision-making approaches can help the logistics manager make informed choices. Finally, sensitivity analysis is performed to define the robustness of the experimental results. Notably, this study is the first in literature to evaluate smart containers based on Industry 5.0 criteria using extended PF-TOPSIS method.