نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکترای تحقیق در عملیات، ، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران
2 استادیار، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران
3 استاد، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران
4 کارشناسی ارشد مدیریت فناوری اطلاعات، رئیس اداره فناوری اطلاعات، سازمان انتقال خون مشهد، مشهد، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Inventory managers at blood transfusion centers are always looking to create sufficient reserves to increase access to various blood products and reduce losses due to the expiration date of blood. Because timely, appropriate and sufficient response of its suppliers to consumers is considered very important and necessary due to the corruption of blood, the uncertainty of blood demand and the direct relationship of its presence or absence with human life. This requires full knowledge of the demand of the covered hospitals as base users and decision-making on how to meet their needs in the best possible way in order to minimize the shortages and losses in the network. Due to the importance of this issue, in this article, we have tried to design and implement an optimal model of how to respond to the demand of hospitals in the Mashhad blood transfusion network with the aim of reducing the cost of waste and blood shortages. In other words, the proposed model determines when the blood transfusion centers receive orders from their consumers, considering how to respond optimally to the orders, given the available inventory, which results in the least losses and blood shortages. Have. In order to validate the proposed model, statistical parameters such as mean relative absolute error, mean absolute error, constant R^2and mean square error were used.
کلیدواژهها [English]
M. Zarezade, Z, Najiazimi, A, Moravati Sharif Abadi, M.A. Pirayesh. Designing a model for allocating zero blood products under conditions
Uncertainty (Case Study: Yazd Blood Transfusion Organization). Modern Researches in Decision Making, Vol 4, no 2, pp 71-96, 2019.
13. Sh, Abrishami, A, Kalate Ahani, F, Dehghanian. Optimizing a two-tier blood supply chain to reduce hospital shortages, 2nd International Conference on Industrial and Systems Engineering.(2016)