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首页> 外文期刊>Journal of ambient intelligence and humanized computing >Blood supply chain management: robust optimization, disruption risk, and blood group compatibility (a real-life case)
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Blood supply chain management: robust optimization, disruption risk, and blood group compatibility (a real-life case)

机译：血液供应链管理：稳健的优化，破坏风险和血型兼容性（真实案例）

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Based on the uncertain conditions such as uncertainty in blood demand and facility disruptions, and also, due to the uncertain nature of blood products such as perishable lifetime, distinct blood groups, and ABO-Rh(D) compatibility and priority rules among these groups, this paper aims to contribute blood supply chains under uncertainty. In this respect, this paper develops a bi-objective two-stage stochastic programming model for managing a red blood cells supply chain that observes above-mentioned issues. This model determines the optimum location-allocation and inventory management decisions and aims to minimize the total cost of the supply chain includes fixed costs, operating costs, inventory holding costs, wastage costs, and transportation costs along with minimizing the substitution levels to provide safer blood transfusion services. To handle the uncertainty of the blood supply chain environment, a robust optimization approach is devised to tackle the uncertainty of parameters, and the TH method is utilized to make the bi-objective model solvable. Then, a real case study of Mashhad city, in Iran, is implemented to demonstrate the model practicality as well as its solution approaches, and finally, the computational results are presented and discussed. Further, the impacts of the different parameters on the results are analyzed which help the decision makers to select the value of the parameters more accurately.
机译：基于不确定的条件（例如血液需求和设施中断的不确定性），以及由于血液制品的不确定性（例如易腐烂的寿命，不同的血型以及这些组之间的ABO-Rh（D）相容性和优先级规则），本文旨在在不确定的情况下贡献血液供应链。在这方面，本文开发了一种用于管理红细胞供应链的双目标两阶段随机规划模型，该模型遵循上述问题。该模型确定最佳的位置分配和库存管理决策，旨在最小化供应链的总成本，包括固定成本，运营成本，库存持有成本，浪费成本和运输成本，以及最小化替代水平以提供更安全的血液输血服务。为解决血液供应链环境的不确定性，设计了一种鲁棒的优化方法来解决参数的不确定性，并采用TH方法使双目标模型可求解。然后，通过对伊朗马什哈德市的真实案例进行研究，以证明该模型的实用性及其解决方法，最后，给出并讨论了计算结果。此外，分析了不同参数对结果的影响，这有助于决策者更准确地选择参数的值。

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