Research from Zhengzhou University of Aeronautics Yields New Study Findings on Data Mining (An Optimization Algorithm of Overseas Surgical Warehouse Location of Cross-Border Medical Supply Chain Network Based on Parallel Big Data Mining).

A study conducted by researchers at Zhengzhou University of Aeronautics explores the optimization of overseas surgical warehouse locations in cross-border medical supply chain networks using parallel big data mining. The researchers propose an algorithm that takes into account factors such as cross-border transportation cost, local transportation cost, warehouse operation cost, and market value to determine the best location for overseas warehouses. By introducing the concept of time window and customer satisfaction, a multi-objective location model is established. The study concludes that the proposed algorithm effectively improves user satisfaction, optimal probability, and reduces system costs. [Extracted from the article]

Copyright of Medical Devices & Surgical Technology Week is the property of NewsRx and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)