二级物流多中心共同配送收益分配优化 科学出版社 fb2 免费 lrf 下载 kindle azw3 pdf 阿里云

物流配送网络优化问题是目前靠前外学术研究的热点，同时也是现代物流的一个重要内容，是现代市场经济体制、现代科学技术和现代物流思想的综合产物，它也是一个重要的直接与消费者相连的环节。当前对物流配送网络优化多集中在研究物流配送网络中的设施选址问题和车辆路径问题（Vehicle Routing Problem，VRP），而缺乏从整体的角度研究物流配送网络优化问题。二级物流多中心共同配送网络是物流配送网络的组成部分，物流配送网络可以拆分为多个二级物流多中心共同配送网络的形式，为此本书试图从二级物流多中心共同配送网络收益分配优化的角度研究物流配送网络优化问题。

ContentsChapter 1 Location Optimization of Multiple Distribution Centers Under Fuzzy Environment 1

1.1 Introduction 1

1.2 Methodology 3

1.3 Implementation and Comparisons 15

1.4 Conclusions 27

Chapter 2 A Fuzzy-based Customer Clustering Approach with Hierarchical Structure for Logistics Network Optimization 28

2.1 Introduction 28

2.2 Literature Review 29

2.3 Methodology 32

2.4 Implementation and Comparisons 43

2.5 Conclusions 52

Chapter 3 Two-echelon Logistics Distribution Region Partitioning Problem Based on a Hybrid Particle Swarm Optimization-Genetic Algorithm 54

3.1 Introduction 54

3.2 Region Partitioning of Two-echelon Logistics Distribution Network 58

3.3 Related Definitions and Model Formulation 60

3.4 EPSO-GA Hybrid Algorithm 64

3.5 Implementation and Comparisons 70

3.6 Conclusions 78

Chapter 4 A Two-echelon Heuristic Method for the VRP with Split Deliveries and Pickups 81

4.1 Introduction 81

4.2 Related Notations for the VRPSPDP 83

4.3 The Heuristic Algorithm 84

4.4 Computational Results 91

4.5 Conclusions 98

Chapter 5 The VRP of Simultaneous Deliveries and Pickups with Split Loads and Time Windows 99

5.1 Introduction 99

5.2 Literature Review 100

5.3 Model Formulation 102

5.4 Heuristic Algorithms 104

5.5 Computational Results 109

5.6 Conclusions 115

Chapter 6 The VRP Based on a Fuzzy Customer Clustering Approach for Logistics Network Optimization 116

6.1 Introduction 116

6.2 Literature Review 117

6.3 Methodology 121

6.4 Implementation and Comparisons 135

6.5 Conclusions 144

Chapter 7 A Methodology to Exploit Optimization of Profit Allocation in Logistics Joint Distribution Network 146

7.1 Introduction 146

7.2 Logistics Joint Distribution Network 150

7.3 Related Definitions and Model Formulation 152

7.4 The Procedure of Solution Methodology 157

7.5 Implementation and Analysis 162

7.6 Conclusions 171

References 173

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