Big Data–Driven Cloud Collaboration Models for Enhancing Supplier–Retailer Synchronization in Modern Manufacturing Supply Chains
Keywords:
SupplierRetailer Synchronization, Big Data Col- laboration, CloudBased Supply Chains, Joint Decision Making, Demand Forecast Accuracy, Inventory Management Optimiza- tion, Forecast Bias Reduction, Replenishment Cycle Shortening, Anterior Disruption Warnings, Anomalous Demand Detection, Inventory Profile Analysis, Early Inspection Signals, Supplier Risk Assessment, MultiCriteria Scorecard, Dual Sourcing Miti- gation, Buffer Stock Strategies, Cloud Data Pipelines, RealTime Forecast Processing, Supply Chain Anomaly Detection, Collabo- rative Demand Planning.Abstract
Supplier–retailer synchronization is essential formanaging uncertainties and risks in modern manufacturing sup-
ply chains. Efficient Big Data–driven cloud collabora
References
Alsolbi, I., Shavaki, F. H., Agarwal, R., Bharathy, G. K., Prakash, S.,
Prasad, M. (2023). Big data optimisation and management in supply
chain management: A systematic literature review. Artificial Intelligence
Review, 56(S1), 253–284.
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Published
2023-12-20
How to Cite
Srinivas Kalisetty. (2023). Big Data–Driven Cloud Collaboration Models for Enhancing Supplier–Retailer Synchronization in Modern Manufacturing Supply Chains. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2188–2205. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4232
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