系统管理学报

系统管理学报 ›› 2024, Vol. 33 ›› Issue (6): 1447-1460.DOI: 10.3969/j.issn.2097-4558.2024.06.005

• 工业工程与工程管理 • 上一篇    下一篇

考虑优先级和需求可拆分的灾后应急血液多车舱调度

刘晓燕1，邱华昕2，王杜娟1，殷允强3   

  1. 1.四川大学商学院，成都 610044；2.东华大学旭日工商管理学院，上海 200051；3. 电子科技大学 经济管理学院，成都 611731
  • 收稿日期:2022-11-23 修回日期:2023-05-17 出版日期:2024-11-28 发布日期:2024-12-03
  • 基金资助:

    国家自然科学基金资助项目（72401061，72471158，72171161，71971041）；四川大学建设世界一流大学项目（SKSYL 2021-08）

Multi-Compartment Emergency Blood Scheduling Considering Priority and Split Demand

LIU Xiaoyan1, QIU Huaxin2, WANG Dujuan1, YIN Yunqiang3   

  1. 1.Business School, Sichuan University, Chengdu 610044, China; 2. Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China; 3. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2022-11-23 Revised:2023-05-17 Online:2024-11-28 Published:2024-12-03

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摘要：

为保障非常规突发事件发生后安全救援顺利进行，提高应急血液调度效率，针对受灾点的灾情严重程度不同以及多类型血液制品的生理特性与应急保障特性，考虑受灾点优先级，构建多血库、多受灾点的二级路网，并采用多车舱的运输方式进行多类型血液制品调度。建立以应急血液调度的时效性和受灾点公平性为目标的多车舱应急血液调度模型，运用改进的自适应大邻域搜索算法进行求解，设计不同规模算例进行数据仿真实验，证明算法的有效性。最后，基于汶川地震构建实际案例，通过对比分析和敏感性分析验证所提出模型和算法的有效性，并提炼出相关管理启示。

关键词:

应急血液调度, 公平性, 多车舱, 自适应大邻域搜索算法, 汶川地震

Abstract:

To ensure the smooth implementation of safety rescue after unconventional emergencies and improve emergency blood scheduling efficiency, aiming at the degree of disaster and the characteristics of blood products, and considering the priority of disaster areas, an emergency logistic system of two-level network with multiple blood banks and disaster areas which transported by multi-compartment mode is studied, a model of multi-compartment emergency blood scheduling with the goal of timeliness and fairness is established. In addition, an improved adaptive large neighborhood search algorithm is developed to solve the model. The validity of the algorithm improvement is demonstrated by numerical examples. Moreover, based on the actual case of the Wenchuan earthquake, the effectiveness of the model and algorithm proposed is verified through comparative analysis and sensitivity analysis, and some management implications are obtained

Key words:

emergency blood scheduling, fairness, multi-compartment, adaptive large neighborhood search algorithm, Wenchuan earthquake

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