Network topology optimization of supply chain information systems

• 作 者: 许娜 彭苏萍
• 机 构: State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology,Sch
• 出 处: Journal of Beijing Institute of Technology
• 发表日期: 2015年04期
• 关键词: topology robustness competition shortest urgent summarized maximize automobile g

Network topology optimization has been widely researched.Since market competition has gradually developed into competition among the supply chain information systems,the network topology optimization of supply chain information systems has been in urgent need.However,the network topology optimization of supply chain information systems is still in its early stages and still has some challenges.So a description of typical seven network topologies for various supply chain information systems has been given.The generic characteristics of each network topology can be summarized.To analyze the optimization of network topology optimization of supply chain information systems,a numeric model has been established based on these general characteristics.A genetic algorithm is applied in the network topology optimization of supply chain information systems model to achieve the minimum cost and shortest path.Finally,our experiment results are provided to demonstrate the robustness and effectiveness of the proposed model.

Network topology optimization has been widely researched. Since the market competition has gradually developed into competition among the supply chain information systems, the network topology optimization of supply chain information systems has been in urgent need. Never, the network topology optimization of supply chain information systems is still in its early stages and still has some challenges.So a description of typical seven network topologies for various supply chain information systems has been given. The generic characteristics of each network topology can summarized. To analyze the optimization of network topology optimization of supply chain information systems, a numeric model has been established based on these general characteristics. A genetic algorithm is applied in the network topology optimization of supply chain information systems model to achieve the minimum cost and shortest path. Finaally, our experiment results are provided to demonstrate the robustness and effectivenes s of the proposed model.