As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of c...As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.展开更多
运用交易费用理论、能力理论等方法对物流服务供应链(Logistics Service Supply Chain,LSSC)的演化机制、结构模型、内涵本质、协调机制等进行较为系统的定性研究,为深入系统研究LSSC提供理论基础.研究表明:受社会分工与专业化、节约交...运用交易费用理论、能力理论等方法对物流服务供应链(Logistics Service Supply Chain,LSSC)的演化机制、结构模型、内涵本质、协调机制等进行较为系统的定性研究,为深入系统研究LSSC提供理论基础.研究表明:受社会分工与专业化、节约交易费用和聚焦核心竞争力的动力驱使,LSSC形成独特的演化模式.LSSC本质上是1条能力供给链,只能通过物流能力的配置来优化供应链,物流服务能力的获取与整合成为LSSC优化的关键.LSSC通过成员间基于核心能力的分工与合作来实现关系协调,这种协调需要专用性关系资产投资、知识共享惯例等机制来保障.展开更多
基金Project(2011ZK2030)supported by the Soft Science Research Plan of Hunan Province,ChinaProject(2010ZDB42)supported by the Social Science Foundation of Hunan Province,China+1 种基金Projects(09A048,11B070)supported by the Science Research Foundation of Education Bureau of Hunan Province,ChinaProjects(2010GK3036,2011FJ6049)supported by the Science and Technology Plan of Hunan Province,China
文摘As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.
文摘运用交易费用理论、能力理论等方法对物流服务供应链(Logistics Service Supply Chain,LSSC)的演化机制、结构模型、内涵本质、协调机制等进行较为系统的定性研究,为深入系统研究LSSC提供理论基础.研究表明:受社会分工与专业化、节约交易费用和聚焦核心竞争力的动力驱使,LSSC形成独特的演化模式.LSSC本质上是1条能力供给链,只能通过物流能力的配置来优化供应链,物流服务能力的获取与整合成为LSSC优化的关键.LSSC通过成员间基于核心能力的分工与合作来实现关系协调,这种协调需要专用性关系资产投资、知识共享惯例等机制来保障.
