On Industry 4.0 supply chain management system in production sector using hybrid q-rung picture fuzzy decision-making techniques

The integration of Industry 4.0 technologies is crucial for developing a robust supply chain management system in the production sector, significantly impacting technological advancements, infrastructure development, resource utilization, consumer acceptance, and policy formulation. This study presents and thoroughly examines novel hybrid decision-making techniques that combine the Analytic Hierarchy Process with the Technique for Order Preference by Similarity to Ideal Solution and VIKOR within a q-rung picture fuzzy framework. We frame the challenges associated with Industry 4.0 supply chain management in the production sector as a multi-criteria decision-making model, which we solve using the proposed hybrid approaches. Additionally, we explore the implications of adopting these methodologies in real-world scenarios, emphasizing their potential to enhance decision-making effectiveness. To enhance comprehension of the proposed model, we conduct sensitivity and comparative analyses, highlighting the advantages of the methodologies employed and demonstrating their applicability across various decision contexts.