多重不确定环境下战略联盟供应链物流计划优化

发布时间：2018-11-11 07:57

【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。
[Abstract]:Considering the stochastic uncertainty of the market demand and price of the end products of the supply chain, the stochastic expectation programming theory is applied to solve the problem of logistics planning optimization of strategic alliance supply chain under the environment of multiple uncertainties. The integrated logistics planning model of three-level multi-node multi-product strategic alliance supply chain is established, and a hybrid intelligent algorithm solution model based on stochastic simulation is designed. The validity of the model and algorithm is verified by an example, and the sensitivity of parameters is analyzed. The results show that the established model is effective and can provide theoretical basis and practical guidance for strategic alliance supply chain logistics planning decision. At the same time, the algorithm designed is not completely dependent on the parameters, and the algorithm is robust. It can effectively solve the strategic alliance supply chain integrated logistics planning decision-making model; In addition, the results of sensitivity analysis can be used as the basis for controlling the parameters in the use of the model.
【作者单位】：浙江科技学院机械与汽车工程学院;山东大学管理学院;苏州科技学院商学院;
【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
【分类号】：F274;F252

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