Hybrid Information Systems

Harnessing the power of hybrid models for supply chain management and optimization

Debosree Ghosh

Pushan Kumar Dutta

Mostafa Abotaleb

Abstract

Hybrid models, which combine artificial intelligence (AI), machine learning (ML), and traditional optimization techniques, have emerged as a promising approach to address the complexities and uncertainties of supply chain operations. By integrating AI and ML algorithms with traditional optimization methods, hybrid models offer the ability to analyze vast amounts of data, enhance demand forecasting accuracy, provide real-time visibility into supply chain operations, optimize resource allocation, manage risks, and improve collaboration among stakeholders. While the implementation of hybrid models ...