摘要
针对多重不确定环境下战略联盟供应链物流计划决策优化问题,考虑供应链末端产品的市场需求和价格两个参数随机不确定性,应用随机期望值规划理论,建立三级多节点多产品战略联盟供应链一体化物流计划模型,设计基于随机模拟的混合智能算法求解模型,以算例对模型和算法的有效性进行验证,并进行参数敏感性分析。结果表明,建立的模型是有效的,可以对战略联盟供应链物流计划决策提供理论依据和实践指导,同时设计的算法并不完全依赖于参数的取值,算法鲁棒性较强,能有效地求解战略联盟供应链一体化物流计划决策模型;另外敏感性分析结果可作为模型使用中对参数进行控制的依据。
Aiming at the logistics planning optimization problem for strategic alliance supply chain under multiple uncertainty, considering market demands and prices of finished product as random variables, a integrated logistics planning model for three-level, multi-node and multiple products strategic supply chain alliance is developed base on stochastic expected value programming theory. For this model a hybrid intelligence algorithm is designed based on random simulation. The effectiveness of the model and algorithm is illustrated with numerical examples simulation, and the sensitivity of parameters is analyzed. The experimental results show that the new developed model is effective and can provide theoretic basis and practical guide for logistics planning for strategic alliance supply chain, the algorithm is not entirely dependent on parameter values, the algorithm has stronger robustness, and the results of sensitivity analysis can be foundation for parameters＇ control of the model.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2014年第4期192-202,共11页
Journal of Mechanical Engineering
基金
国家国际科技合作专项(2013DFA31920)
教育部人文社会科学研究规划基金(12YJA630097)
中国博士后科学基金(20110491567)资助项目
关键词
战略联盟供应链
物流计划
多重不确定环境
模型与算法
敏感性分析
strategic alliance supply chain
logistics planning
multiple uncertainty
model and algorithm
sensitivity analysis
