4 hasil untuk "Fadoua TAMTAM"
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Artikel Jurnal
Enhanced ELECTRE III method with interval-valued hesitant fuzzy linguistic sets for multi-criteria group decision-making in smart supply networks
This study presents a robust decision-making framework for evaluating strategic artificial intelligence (AI) initiatives within DHL's smart supply network. The objective is to prioritize four AI alternatives-autonomous warehouse routing, predictive delivery optimization, AI-driven demand…
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Artikel Jurnal
Advancing Digital Supply Chains through Generative AI: A Strategic Framework with the ELECTRE III Method
This study evaluates the role of Generative AI in optimizing digital supply chain performance, focusing on IoT integration, predictive analytics, and blockchain security. The primary objective is to determine which AI-driven initiatives offer the greatest benefits in enhancing resilience and…
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Artikel Jurnal
Hybrid AI-driven decision architecture for sustainable industrial planning: Integrating BWM, IVN-TOPSIS, and DRL in OCP's digital supply chain
Sustainable energy planning in industrial supply chains requires a digitally integrated decision architecture capable of modeling uncertainty, aligning stakeholder priorities, and optimizing infrastructure deployment. In this study, we introduced a hybrid AI-driven (Artificial Intelligence)…
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Artikel Jurnal
Artificial Intelligence-Supported Hyperfuzzy VIKOR-DEA Framework for Sustainable Supply Chain and Energy Optimization in Smart Cities
This study proposes an Artificial Intelligence-Supported Hyperfuzzy framework to evaluate hydrogen fuel cell technologies in Morocco's smart urban and supply chain ecosystems. Integrating compromise-ranking with efficiency benchmarking, the model addresses challenges in performance optimization…