论文部分内容阅读
基于前景理论对多维风险环境下的弹性供应链网络设计和运作集成优化问题进行了研究,使用了能够反映决策者风险规避行为特征的效用函数,通过随机情境生成技术模拟多维风险环境,并使用非线性缺货惩罚成本限制缺货量,从而确保供应链网络具有应对多维风险环境的弹性,在此基础上建立多周期非线性混合整数随机规划模型。文中给出了模型求解的线性转化方法与求解算法,并通过具体的数值算例与灵敏度分析验证了优化模型的有效性与实际应用价值。
Based on the foreground theory, this paper studies the integration optimization of flexible supply chain network design and operation in multidimensional risk environment, and uses the utility function which can reflect the risk avoidance behavior of decision makers. Simulations of multidimensional risk environment by using stochastic scenario generation technology and the use of non- Linear out-of-stock penalties limit the out-of-stock costs so as to ensure that the supply chain network has the flexibility to cope with the multi-dimensional risk environment. On this basis, a multi-period nonlinear mixed integer stochastic programming model is established. In this paper, the linear transformation method and the solution algorithm of the model are given, and the effectiveness and practical value of the optimization model are verified by numerical examples and sensitivity analysis.