基于决策者风险态度的弹性分销网络优化模型

发布时间：2018-02-15 09:24

本文关键词： 需求波动部分失效风险态度弹性分销网络　出处：《经济管理》2015年07期 　论文类型：期刊论文

【摘要】：在失效风险与需求波动并存的不确定性环境下,为了解决分销网络的设计与运作策略集成优化问题,本文在考虑决策者风险态度的基础上,建立了一个多周期非线性混合整数随机规划模型。通过将失效事件与需求波动的随机情境嵌入其中,为分销中心选址、供应指派及物流量分配等集成优化决策提供模型化方法。与以往相关研究不同,考虑分销中心可能发生部分失效,即在失效事件发生时其仍可能保持一定比例的剩余供应能力,分销中心可通过保护性投资策略和分销中心间的转运策略,提高其适应不确定性环境的弹性。针对优化模型的特点,提出了基于抽样平均近似(Sample Average Approximation-SAA)方法的求解算法。研究结果表明,通过保护性投资策略和分销中心间的转运策略,可以有效提高分销网络应对失效风险与需求波动的能力,对于决策者风险态度的敏感性分析也为实际的管理决策提供了必要的参考。
[Abstract]:In the uncertain environment of the coexistence of failure risk and demand fluctuation, in order to solve the problem of integration and optimization of distribution network design and operation strategy, this paper considers the risk attitude of decision makers. In this paper, a multi-period nonlinear mixed integer stochastic programming model is established. By embedding the random situation of failure event and demand fluctuation into the model, the distribution center is located. Different from previous studies, it is considered that the distribution center may have partial failure, that is, it may maintain a certain proportion of residual supply capacity when the failure event occurs. Distribution centers can improve their flexibility to adapt to uncertain environments by means of protective investment strategies and trans-shipment strategies between distribution centers. A solution algorithm based on sample Average approximation (SAA) method is proposed. The results show that the ability of distribution network to cope with failure risk and demand fluctuation can be effectively improved by means of protective investment strategy and transit strategy between distribution centers. The sensitivity analysis of decision makers' risk attitude also provides a necessary reference for practical management decisions.
【作者单位】：东北大学工商管理学院;
【基金】：国家自然科学基金项目“面向干扰事件风险环境的弹性供应链系统设计与运作集成优化方法研究”(70972100)
【分类号】：F274;F224

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