Optimizing Digital Twin Supply Chains Leveraging Genetic Algorithms Markov Decision Processes DOI

Rama Krishna Mani Kanta Yalla,

Thirusubramanian Ganesan, Mohanarangan Veerappermal Devarajan

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 99 - 130

Опубликована: Май 2, 2025

Background Information: Data-driven supply chains and real-time simulations involving digital twins are transforming the sector. Nevertheless, existing optimisation techniques usually do not pay much heed to sustainability or resilience. Through enhancing twin systems using leading-edge methods in this work, gap has been filled. Objectives: The main aim of study is optimizing efficiency chain with application GA, ABM, MDP, SA enhance operational efficiency, cost savings, carbon emissions while improving Methods: strategy includes agent-based modeling, stochastic analysis, Markov decision processes, genetic algorithm optimization. Results: integrated approach 86.5% resilience, 18.7% reduction, 93.2% were attained. Conclusion: study, thus concludes by how well work together balancing sustainability.

Язык: Английский

Optimizing Digital Twin Supply Chains Leveraging Genetic Algorithms Markov Decision Processes DOI

Rama Krishna Mani Kanta Yalla,

Thirusubramanian Ganesan, Mohanarangan Veerappermal Devarajan

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 99 - 130

Опубликована: Май 2, 2025

Background Information: Data-driven supply chains and real-time simulations involving digital twins are transforming the sector. Nevertheless, existing optimisation techniques usually do not pay much heed to sustainability or resilience. Through enhancing twin systems using leading-edge methods in this work, gap has been filled. Objectives: The main aim of study is optimizing efficiency chain with application GA, ABM, MDP, SA enhance operational efficiency, cost savings, carbon emissions while improving Methods: strategy includes agent-based modeling, stochastic analysis, Markov decision processes, genetic algorithm optimization. Results: integrated approach 86.5% resilience, 18.7% reduction, 93.2% were attained. Conclusion: study, thus concludes by how well work together balancing sustainability.

Язык: Английский

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