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 : 1403/08/12

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

چکیده مقاله :

Blood supply chain is one of the most important challenges in health and treatment network. This research presents a non-linear multi objective robust and optimal model of the blood supply chain under conditions of demand uncertainty with the reducing cost and increasing the reliability of the blood supply chain for model reliability. The presented blood supply chain model is a three level model including supply, processing and distribution of blood. The problem has been investigated in different dimensions and using real data and sensitivity analysis. Baron solver in 24.9 GAMS software is used to solve the presented mathematical model. The results show that the presented model is able to estimate the amount of production produce from the blood center to the hospital, the amount of blood collected from donors, the amount of product inventory in each center and hospital with determine the goal of reducing cost and increasing reliability. In the presented model, the demand for blood is considered as non-deterministic and it is tried to increase the reliability of the chain by providing a suitable model of the robust supply chain, the cost are optimally controlled, also the waste is controlled and the lack of blood can also be minimized.

چکیده انگلیسی:

Blood supply chain is one of the most important challenges in health and treatment network. This research presents a non-linear multi objective robust and optimal model of the blood supply chain under conditions of demand uncertainty with the reducing cost and increasing the reliability of the blood supply chain for model reliability. The presented blood supply chain model is a three level model including supply, processing and distribution of blood. The problem has been investigated in different dimensions and using real data and sensitivity analysis. Baron solver in 24.9 GAMS software is used to solve the presented mathematical model. The results show that the presented model is able to estimate the amount of production produce from the blood center to the hospital, the amount of blood collected from donors, the amount of product inventory in each center and hospital with determine the goal of reducing cost and increasing reliability. In the presented model, the demand for blood is considered as non-deterministic and it is tried to increase the reliability of the chain by providing a suitable model of the robust supply chain, the cost are optimally controlled, also the waste is controlled and the lack of blood can also be minimized.

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