供应服从季节性波动的血液供应链优化研究

构建了由1家血液中心和3家医院组成的血液供应链,通过数学建模地描述了血液供应链的库存管理、绩效评价等日常运作流程,并运用MATLAB对为期52周(一个自然年)的血液供应链运作情况进行仿真,通过遗传算法进行求解。仿真优化结果表明:(1)采用集中控制可以使血液供应链平均系统过期率由39.5%降至8.2%;(2)当供应服从不同分布时,集中控制策略对供应链的改良程度有较大差异;(3)当供应服从SDT分布时,采用集中控制可以极大程度地降低血液供应链系统过期率。

Research on Optimization of Blood Supply Chain with Seasonal Fluctuations

Mathematical modeling is introduced to describe inventory management, performance evaluation and other daily operation processes in the proposed blood supply chain with one blood center and three hospitals, then the authors optimize the 52-week operation with MATLAB and use genetic algorithm to get solutions. The simulation optimization results show: (1) centralized control can reduce the system-wide outdate rate from 39.5% to 8.2%; (2) the improving extent of centralized control is affected by supply distribution dramatically; (3) when the supply is allowing SDT pattern, taking centralized control can reduce system-wide outdate rate significantly.