摘要
可靠物流系统设计方法研究逐渐成为供应链风险管理研究领域的新热点。首先,提出了物流网络的可靠性优化问题,并构建基于服务可靠性和成本双目标优化的机会约束规划模型;其次,设计了求解模型的集成随机模拟技术的改进遗传算法;最后,用一个算例验证模型和算法的正确性和算法的良好性能。
The reliability of logistics service is one of important realistic problem,and the research of logistics system design with reliability restraint is becoming a new hotspot.First,the problem of logistics networks planning was addressed,which considering reliability constrains,and an optimization chance-constrained model with bi-objective and based on service-reliability-oriented and cost-oriented was formulated.Second,an intelligent algorithm integrated and stochastic simulation methods was applied to solve the model.The correctness of the model and the algorithm,and the good performance of the algorithm were demonstrated by an example.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2011年第9期160-164,共5页
Journal of Central South University of Forestry & Technology
基金
国家自然科学基金(70971140)
湖南省科学技术厅软科学研究计划资助项目(2008ZK3024)
关键词
物流网络
可靠性优化
双目标机会约束规划
混合遗传算法
随机模拟
logistics networks
reliability optimization
bi-objective chance-constrained programming
hybrid generic algorithms
stochastic simulation method