Designing a Robust Model of the Blood Supply Chain in Conditions of Demand Uncertainty

محورهای موضوعی : Supply chain management and logistics

Majid Motamedi ¹ , S.M Mousavi ² , Mohammad Hossein Darvish Motevali ³

1 - Department of Management, Nowshahr Branch Islamic Azad University, Nowshahr, Iran
2 - Department of Technical and Engineering, Faculty of Industrial Engineering, Islamic Azad University, Noshahr Branch, Mazandaran, Iran
3 - Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran

تاریخ دریافت : 1403/06/01 تاریخ پذیرش : 1403/08/08 تاریخ انتشار : 1403/09/08

کلید واژه: Robust model, Blood supply chain, Demand, Uncertainty conditions, Waste, Deficiency,

چکیده مقاله :

The blood supply chain is one of the most important challenges in health and medical networks. In this paper, a non-linear multi-objective robust model of the blood supply chain under the condition of blood demand uncertainty is presented. The proposed model is a three-level model including supply, processing, and distribution of blood. The decision variables determined after solving the model include, the amount of blood collected from donors in the collection centers and sent to the blood centers, the product sent from the blood centers to the hospital, the optimal number of blood collection centers, the amount of product inventory in each center and hospital, and the amount of product shortage in each center and hospital. The aim of the proposed model is to reduce the costs of blood transfusion, shortages, and waste of blood and increase the reliability of the blood supply chain. To validate the proposed model, sensitivity analyses were performed using real data with different dimensions in the Barron solver in GAMS software. Sensitivity analyses of the model were carried out on the costs of waste, shortage, and the objective function. The results confirmed the validity and efficiency of the proposed model..

چکیده انگلیسی:

The blood supply chain is one of the most important challenges in health and medical networks. In this paper, a non-linear multi-objective robust model of the blood supply chain under the condition of blood demand uncertainty is presented. The proposed model is a three-level model including supply, processing, and distribution of blood. The decision variables determined after solving the model include, the amount of blood collected from donors in the collection centers and sent to the blood centers, the product sent from the blood centers to the hospital, the optimal number of blood collection centers, the amount of product inventory in each center and hospital, and the amount of product shortage in each center and hospital. The aim of the proposed model is to reduce the costs of blood transfusion, shortages, and waste of blood and increase the reliability of the blood supply chain. To validate the proposed model, sensitivity analyses were performed using real data with different dimensions in the Barron solver in GAMS software. Sensitivity analyses of the model were carried out on the costs of waste, shortage, and the objective function. The results confirmed the validity and efficiency of the proposed model..

منابع و مأخذ:

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