دورية أكاديمية
Optimization of Inventory Management to Prevent Drug Shortages in the Hospital Supply Chain
| العنوان: | Optimization of Inventory Management to Prevent Drug Shortages in the Hospital Supply Chain |
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| المؤلفون: | Tarek Abu Zwaida, Chuan Pham, Yvan Beauregard |
| المصدر: | Applied Sciences, Vol 11, Iss 6, p 2726 (2021) |
| بيانات النشر: | MDPI AG, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
| مصطلحات موضوعية: | hospital supply chain, drug shortage prevention, inventory management, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| الوصف: | Drug shortage is always a critical issue of inventory management in healthcare systems since it potentially invokes several negative impacts. In supply chain management, optimization goes hand-in-hand with inventory control to address several issues of the supply, management, and use of drugs. However, it is difficult to determine a shortage situation in a hospital due to multiple unpredictable reasons, such as manufacturing problems, supply and demand issues, and raw material problems. To avoid the shortage problem in a hospital, efficient inventory management is required to operate the system in a sustainable way and maximize the profit of the organization in the Hospital Supply Chain (HSC). In this work, we study a drug refilling optimization problem, a general model for drug inventory management in a hospital. We then investigate a Deep Reinforcement Learning (DRL) model to address this problem under an online solution that can automatically make a drug refilling decision in order to prevent a drug shortage. We further present a numerical result to verify the performance of the proposed algorithm, which outperforms the baselines (e.g., over-provisioning, ski-rental, and max-min) in terms of the refilling cost and the shortage rate. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2076-3417 |
| Relation: | https://www.mdpi.com/2076-3417/11/6/2726; https://doaj.org/toc/2076-3417 |
| DOI: | 10.3390/app11062726 |
| URL الوصول: | https://doaj.org/article/f65840caa3dd495fb062de1f1131f43d |
| رقم الأكسشن: | edsdoj.f65840caa3dd495fb062de1f1131f43d |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20763417 |
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| DOI: | 10.3390/app11062726 |