HUNG-CHANG LIAO2026-10-162026-10-162013-01-01Pure ID: 15430868Pure UUID: 64539e57-bb19-454a-8066-f13ae166af38https://www.scopus.com/pages/publications/84880057923https://scholars.csmu.edu.tw/handle/123456789/31242This paper proposes an innovative distribution proportion approach for medicines for hospitals that have combined their hospital supply chain management (HSCM) for the centralized purchasing of medicines. This approach is fit for hospitals who do not engage in open information sharing related to internal costs. Neural networks (NNs) and genetic algorithms (GAs) are the core technologies of this distribution approach wherein each hospital's total cost and patient safety level were considered. This paper looks at possible computational results of these technologies, and discusses adjustment strategies for different distribution proportions of medicines to different hospitals.11enjournal article