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Journal of Tsinghua University(Science and Technology)    2014, Vol. 54 Issue (3) : 366-372     DOI:
Orginal Article |
Organization method for port logistics chain's cloud service based on cooperative game theory
Rongtao DING()
Zhejiang Commercial Economy Research Institute, Hangzhou 310053, China
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Abstract  

Based on the cooperative game theory, this paper analyzes the demand characteristics of port logistics chain cloud service network, and describes the process of formation of the port logistics chain cloud service network through fair bidding and tendering. The logistics chain cloud service organization strategy was designed including public cloud centralized decision with private cloud compensation designed, which guarantees the benefit equilibrium of port logistics chain members. The multiple agent parallel computing framework was established for port logistics chain cloud service, with the stable and efficient cloud genetic algorithm applied to the implementation process of logistics chain resource selection and collaborative computation. A test example shows that the designed model and algorithm have more effective operability, and can be taken as a reference for port logistics chain's cloud service organization.

Keywords cloud service      cooperative game      port logistics      genetic algorithm     
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Issue Date: 15 March 2014
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Rongtao DING. Organization method for port logistics chain's cloud service based on cooperative game theory[J]. Journal of Tsinghua University(Science and Technology), 2014, 54(3): 366-372.
URL:  
http://jst.tsinghuajournals.com/EN/     OR     http://jst.tsinghuajournals.com/EN/Y2014/V54/I3/366
  
  
  
Agent 所属云 功能
Generator 公、私 存放策略,产生预期物流方案
Scheduler 公、私 维护服务状态和工作计划
Separator 公、私 维护计算中的初始解和可行解
Optimizer 公、私 对解进行不断选择和改进
Amender 公、私 对解进行排除或修正处理
Dumper 公、私 清除计算过程中的无用解
Synthesizer 公、私 服务任务相关云间数据通信
Agreement 物流资源招标,签订合作协议
Integrator 服务节点资源竞标和整合
  
起点 终点 运输量 成本约束 时间约束
52,60 1,3 70 120 130
  
编号 所属云 坐标系 可转运量 可存储量
N1 C0 52,60 200 582
N2 C1 49,16 26 12
N3 C1 45,25 53 79
N4 C2 41,53 31 45
N5 C2 28,39 45 36
N6 C2 13,16 60 81
N7 C3 11,23 47 34
N8 C3 10,32 70 42
N9 C3 6,9 82 160
N10 C3 1,23 52 147
  
  
路径 转运量 转运收益
N1N3 51 28
N1N4 19 3
N3N6 51 26
N4N5 19 5
N5N7 19 12
N6N9 51 11
N7N9 19 7
N9→目的地 70 23
  
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