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Research on Blood Supply Chain Simulation Based on Cost and Shortage Rate

机译：基于成本和短缺率的血液供应链仿真研究

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摘要

Based on the MBB case in India, this paper takes the cost and the shortage rate as output variables, considers five events including demand events, collection events, storage events, shortage events, and overdue events in the blood supply chain, and establishes a blood supply chain simulation model. The total cost and shortage rate under normal circumstances, expanding blood collection station scale, and increasing the number of organized blood collection activities provide decision-making suggestions for decision makers. The simulation results of the study examples show that expanding the scale of blood collection stations and increasing the size of blood collection stations can make the total cost decreased by 68%, the shortage rate decreased by an average of 26%, the increase in the number of blood collection activities reduced the total cost of the blood supply chain by 61%, and the shortage rate decreased by 33%, which verified the feasibility and effectiveness of the simulation model. Research on other blood centers also has some value of reference.
机译：基于印度的MBB案例，本文将成本和缺点率作为输出变量，考虑了五个事件，包括血液供应链中的需求事件，收集事件，存储事件，短缺事件和逾期事件，并建立血液供应链仿真模型。在正常情况下的总成本和短缺率，扩大采血站规模，增加有组织的血液收集活动的数量为决策者提供决策建议。研究实施例的仿真结果表明，扩大血液收集站规模并增加血液收集站的尺寸可以使总成本降低68％，短缺率下降平均26％，数量增加血液收集活动将血液供应链的总成本降低了61％，短缺率下降了33％，验证了仿真模型的可行性和有效性。对其他血液中心的研究也有一些参考价值。

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