شماره ركورد كنفرانس :
5497
عنوان مقاله :
Optimization of Blood Products Inventory and Distribution Processes: A Simulation-Optimization Approach
عنوان به زبان ديگر :
Optimization of Blood Products Inventory and Distribution Processes: A Simulation-Optimization Approach
پديدآورندگان :
Lotfi Morteza morteza.lotfi@modares.ac.ir Faculty of Industrial and Systems Engineering, Tarbiat Modares University , Nikbakhsh Ehsan nikbakhsh@modares.ac.ir Faculty of Industrial and Systems Engineering, Tarbiat Modares University , Khakshour Saadat Parisa p.khakshour@modares.ac.ir Faculty of Industrial and Systems Engineering, Tarbiat Modares University , Sepehri Mohammad Mehdi mehdi.sepehri@modares.ac.ir Faculty of Industrial and Systems Engineering, Tarbiat Modares University
كليدواژه :
Blood Supply Chain Processes , Inventory , Routing Problem , Perishability , Simulation Optimization , Strength Pareto Evolutionary Algorithm.
عنوان كنفرانس :
اولين كنفرانس ملي مهندسي و مديريت فرآيندهاي كسب و كار
چكيده فارسي :
Due to blood products’ limited shelf life and perishability, the corresponding distribution and inventory processes are of great importance. In Iran, the distribution of blood products is done using the single-destination delivery strategy. In addition to the environmental hazards and pollution, transportation cost is essential. Adopting a multiple-destination delivery strategy could help solve these issues. This study presents a simulation-optimization model for a case study in Tehran with real-world data aiming to improve the blood inventory and distribution processes using a multiple-destination delivery strategy (i.e., a tour delivery strategy). The proposed mixed-integer programming model considers the cold chain of blood products for a central blood transfusion center and several hospitals. A simulation model is proposed to illustrate the effect of hospital consumption rate uncertainty on mortality. As the model is bi-objective, Strength Pareto Evolutionary Algorithm 2 (SPEA2) is used to solve the proposed model and find the Pareto front. Numerical experiments show the proposed algorithm’s efficiency and savings in the new distribution process. The proposed model can assist the managers of the blood transfusion system in simultaneous planning of distribution and hospital inventory control of blood products to reduce distribution, wastage, and shortage costs and decrease the number of severe emergency shortages.
چكيده لاتين :
Due to blood products’ limited shelf life and perishability, the corresponding distribution and inventory processes are of great importance. In Iran, the distribution of blood products is done using the single-destination delivery strategy. In addition to the environmental hazards and pollution, transportation cost is essential. Adopting a multiple-destination delivery strategy could help solve these issues. This study presents a simulation-optimization model for a case study in Tehran with real-world data aiming to improve the blood inventory and distribution processes using a multiple-destination delivery strategy (i.e., a tour delivery strategy). The proposed mixed-integer programming model considers the cold chain of blood products for a central blood transfusion center and several hospitals. A simulation model is proposed to illustrate the effect of hospital consumption rate uncertainty on mortality. As the model is bi-objective, Strength Pareto Evolutionary Algorithm 2 (SPEA2) is used to solve the proposed model and find the Pareto front. Numerical experiments show the proposed algorithm’s efficiency and savings in the new distribution process. The proposed model can assist the managers of the blood transfusion system in simultaneous planning of distribution and hospital inventory control of blood products to reduce distribution, wastage, and shortage costs and decrease the number of severe emergency shortages.
