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A reinforcement learning-based framework for disruption risk identification in supply chains.

, , , and . Future Gener. Comput. Syst., (2022)

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ZBWM: The Z-number extension of Best Worst Method and its application for supplier development., , , , and . Expert Syst. Appl., (2018)A reinforcement learning-based framework for disruption risk identification in supply chains., , , and . Future Gener. Comput. Syst., (2022)POSSUM: PrOactive diSruption riSk identification for sUpply chain Management., , , and . PerCom Workshops, page 319-321. IEEE, (2023)Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australia., , , , and . CoRR, (2023)Joint optimization of maintenance and inventory policies for multi-unit systems., , , and . Int. J. Syst. Assur. Eng. Manag., 12 (3): 587-607 (2021)Reinforcement Learning-Based News Recommendation System., , , , and . IEEE Trans. Serv. Comput., 16 (6): 4493-4502 (November 2023)A survey on the suitability of risk identification techniques in the current networked environment., , , , and . J. Netw. Comput. Appl., (2021)A News Recommendation System for Environmental Risk Management., , , , and . D2R2, volume 3401 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Transformer-Based Named Entity Recognition in Construction Supply Chain Risk Management in Australia., , , , and . IEEE Access, (2024)