A Novel Stochastic-Dynamic Framework for Optimizing Multi-Criteria Decision-Making in Global Supply Chain Networks
Keywords:
stochastic-dynamic framework, multi-criteria decision-making, global supply chain networks, dynamic optimization, probabilistic modelsAbstract
This study introduces a pioneering stochastic-dynamic framework tailored for optimizing multi-criteria decision-making processes within global supply chain networks. Utilizing advanced probabilistic models and dynamic optimization techniques, the framework addresses the complexities of contemporary supply chain management. Empirical analyses demonstrate the framework's efficacy in enhancing decision accuracy and operational efficiency. The results underscore its potential application in global supply chains, offering significant insights for researchers and practitioners alike.
References
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