English

师资力量

代宗利

姓名

代宗利

所在教学单位

(教学人员)

电子商务与物流系

职称

助理研究员

导师情况


职务或学术兼职

Transportation Research Part E: Logistics and Transportation Review匿名审稿人

联系方式

studydzl@163.com

研究领域

医疗运作管理、运筹优化,机器学习

主讲课程

电子商务、程序设计、商务分析

教育经历

2019/9~2023/4 大连理工大学经济管理学院,管理科学与工程专业,工学博士

主要论著

[1] Dai Zongli,   Sandun Perera, Wang Jianjun. Adopting a hierarchical diagnosis and treatment   system to optimize elective surgery scheduling[J]. Computers and Operations   Research, 2023 (ABS 3*).

[2] Dai Zongli,   Wang Jianjun. Elective Surgery Scheduling Considering the Transfer Risk in   Hierarchical Diagnosis and Treatment System[J]. Journal of the Operational   Research Society, 2023. (ABS 3*)

[3] Dai Zongli,   Wang Jianjun, Jim (Junmin) Shi. How does the hospital make a safe and stable   elective surgery plan during COVID-19 pandemic?[J]. Computers and Industrial   Engineering, 2022, 169: 108210. (Q1, 中科院二区)

[4] Dai Zongli,   Sandun Perera, Wang Jianjun, et al. Elective surgery scheduling under   uncertainty in demand for intensive care unit and inpatient beds during the   epidemic outbreaks[J]. Computers and Industrial Engineering, 2023,   176C:108893. (Q1, 中科院二区)

[5] 代宗利,刘林,王建军. 基于鲁棒优化的择期手术干扰管理[J].系统工程学报,2023,录用。

[6] Wang   Jianjun(本人导师),   Dai Zongli, Jim (Junmin) Shi et   al. Robust Surgical Scheduling for Non-Operating Room Anesthesia (NORA) under   Surgical Duration Uncertainty [J]. Decision Sciences, 2022. SSCI (ABS 3*)

[7] Wang   Jianjun(本人导师),   Dai Zongli, Jim (Junmin) Shi, et   al. Surgical Scheduling by Fuzzy model considering inpatient beds shortage   under uncertain surgery duration [J]. Annals of Operations Research, 2022.   SCI (ABS 3*)

[8] Wang   Jianjun(本人导师),   Dai Zongli, Jim (Junmin) Shi et   al. Operating Room Scheduling for Non-Operating Room Anesthesia (NORA) with   Uncertain Emergency Arrivals [J]. Annals of Operations Research, 2022. SCI   (ABS 3*)

[9] 王建军(本人导师), 代宗利, 侯晓文. 跨科室资源共享模式下择期患者手术室调度研究[J]. 系统工程理论与实践, 2021,   41(11): 2947- 2962.

课题项目

[1] 基于数据分析的多维不确定环境下手术室调度优化方法研究,国家自然科学基金,参与

[2] 中央高校基本科研业务费资助项目: 数据驱动的肿瘤手术全流程管理与智能决策, 2021.01-2022.12, 参与

获奖

 


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