疫情物流建模:运筹学的新视角 刘明 等 著 mobi 下载 网盘 caj lrf pdf txt 阿里云

本书将从突发疫情环境下的应急物流网络优化与常规疫情环境下的药品物流调度两个视角，探讨医疗物资调度的优化理论与方法。在应急环境下，本书将结合生物恐怖袭击这一非常规突发事件的应急救援活动，开展基于生物危险源扩散模型的应急救援控制策略研究、时间驱动环境下应急物资混合协同配送方法研究、资源驱动环境下应急物流网络协同优化研究、生物反恐体系中应急物流网络集成动态优化研究以及应急救援方案选择的序贯决策方法研究。在非应急的环境下，本书将结合医院常规医疗物资的订购与配送协调优化问题，开展需求与旅行时间双重不确定性条件下的医疗物资配送排程规划、基于时空网络和机会约束规划的常规医疗物资订购与配送排程规划、以及基于流感扩散规律的医疗物资订购与配送排程规划等内容研究。

Chapter 1 Basic concept of epidemic-logistics 1

1.1 Basic knowledge of epidemic dynamics 1

1.1.1 Adequate contact rate and incidence 2

1.1.2 Basic reproduction number 3

1.2 Epidemics control and logistics operati*** 4

1.2.1 Preparedness 4

1.2.2 Outbreak investigation 5

1.2.3 Resp***e 6

1.2.4 Evaluation 7

1.3 Future directi*** for epidemic-logistics research 8

References 10

Chapter 2 Epidemic dynamics modeling and ***ysis 13

2.1 Epidemic dynamics in anti-bioterrorism system 13

2.1.1 Introduction 13

2.1.2 SIQRS epidemic diffusion model 15

2.1.3 SEIQRS epidemic diffusion model 19

2.1.4 Computational experiments and result ***ysis 21

2.2 Epidemic dynamics modeling for influenza 24

2.2.1 Introduction 24

2.2.2 SEIRS model with small world network 25

2.2.3 Emergency demand base on epidemic diffusion model 29

2.2.4 Numerical test 30

2.3 Epidemic dynamics c***idering population migration 33

2.3.1 Introduction 33

2.3.2 Epidemic model with population migration 34

2.3.3 Model ***ysis 35

2.3.4 Numerical test 40

References 43

Chapter 3 Mixed distribution mode for emergency resources in anti-bioterrorism system 47

3.1 Introduction 47

3.2 Li***ture review 48

3.2.1 Li***ture related to epidemic prevention and control 49

3.2.2 Li***ture related to emergency distribution 50

3.3 Demand forecasting based on epidemic dynamics 51

3.3.1 SEIQRS model based on small-world network 51

3.3.2 Demand for emergency resources 52

3.4 Model formulati*** 53

3.4.1 Point-to-point distribution mode with no vehicle c***traints 53

3.4.2 The multi-depot， multiple traveling salesmen distribution mode with vehicle c***traints 54

3.4.3 The mixed-collaborative distribution mode 56

3.5 Solution procedures 58

3.5.1 Operating instructi*** for genetic algorithms 58

3.5.2 The solution procedure 59

3.6 Computational experiments and result ***ysis 60

3.6.1 Comparison and ***ysis for each stockpile depot 61

3.6.2 Comparison and ***ysis for total distance and timeliness 63

3.7 Conclusi*** 64

References 64

Chapter 4 Epidemic logistics with demand information updating—ModelⅠ: Medical resource is enough 67

4.1 Introduction 67

4.2 Li***ture review 68

4.2.1 Epidemic diffusion modeling 68

4.2.2 Medical resource allocation modeling 69

4.3 The mathematical model 70

4.3.1 SEIRS epidemic diffusion model 71

4.3.2 The forecasting model for the time-varying demand 73

4.3.3 Time-space network of the medicine logistics 74

4.4 Solution methodology 77

4.5 Numerical tests 78

4.5.1 A numerical example 78

4.5.2 Model comparison 81

4.5.3 Sensitivity ***ysis 83

4.6 Conclusi*** 84

References 85

Chapter 5 Epidemic logistics with demand information updating—ModelⅡ: Medical resource is limited 88

5.1 Introduction 88

5.2 Epidemic diffusion ***ysis and demand forecasting 91

5.2.1 Influenza diffusion ***ysis 91

5.2.2 Demand forecasting 93

5.3 The dynamic medical resources allocation model 95

5.3.1 Model specification 95

5.3.2 Notation 96

5.3.3 Model formulation 96

5.3.4 Solution procedure 97

5.4 Numerical example and discussion 97

5.4.1 Numerical example 97

5.4.2 Comparison and discussion 100

5.4.3 A short sensitivity ***ysis 102

5.5 Conclusi*** 102

References 103

Chapter 6 Integrated optimization model for two-level epidemic-logistics network 106

6.1 Introduction 106

6.2 Problem deion 107

6.2.1 SEIR epidemic diffusion model 108

6.2.2 Forecasting model for the time-varying demand 109

6.2.3 Forecasting model for the time-varying inventory 111

6.3 Optimization model and solution methodology 111

6.3.1 The integrated optimization model 111

6.3.2 Solution methodology 113

*** A numerical example and implicati*** 117

***.1 A numerical example 117

***.2 A short sensitivity ***ysis 122

6.5 Conclusi*** 123

References 124

Chapter 7 Integrated optimization model for three-level epidemic-logistics network 125

7.1 Introduction 125

7.2 Problem deion 127

7.2.1 Model framework 127

7.2.2 Time-varying forecasting method for the dynamic demand 128

7.2.3 Dynamic demand and inventory for the UHD 129

7.3 Optimization model and solution procedure 129

7.3.1 Optimization model 129

7.3.2 Solution procedure 131

7.4 Numerical example 132

7.5 Conclusi*** 136

References 137

Chapter 8 A novel FPEA model for medical resources allocation in an epidemic control 139

8.1 Introduction 139

8.2 The mathematical model 141

8.2.1 Forecasting phase 142

8.2.2 Planning phase 144

8.2.3 Execution phase 150

8.2.4 Loop closed 150

8.3 Numerical example 152

8.3.1 Test for forecasting phase 152

8.3.2 Test for logistic planning phase 153

8.3.3 Test for adjustment phase 157

8.4 Conclusi*** 159

References 159

……

暂无相关内容，正在全力查找中

暂无出版社相关信息，正在全力查找中！

暂无相关书籍摘录，正在全力查找中！

在线阅读地址：疫情物流建模:运筹学的新视角 刘明 等 著在线阅读

在线听书地址：疫情物流建模:运筹学的新视角 刘明 等 著在线收听

在线购买地址：疫情物流建模:运筹学的新视角 刘明 等 著在线购买

暂无原文赏析，正在全力查找中！

暂无其它内容！