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摘要本文运用多种质量设计技术来优化供应链的总体绩效水平，以减少供应链系统中的波动情况。在供应链的实际运作过程中，可以把影响供应链绩效的因子分为可控因子和噪声因子两大类，其中可控因子是企业可以控制和改变的，而噪声因子很难控制。噪声因子的波动会对供应链总体绩效水平产生不确定的影响。33165
- 上一篇：无固定期限劳动合同解除研究
- 下一篇：赠品的消费者偏好及其营销策略
基于此，本文立足于供应链仿真领域的经典案例“啤酒博弈”，运用稳健参数设计方法及响应曲面方法对仿真模型进行优化，以实现整体供应链绩效水平最优的目标。其中，仿真模型为优化方法提供了试验平台；稳健参数设计方法实现了供应链绩效受噪声因子波动影响最小化的优化目标，并确定了最优目标下的可控因子水平组合；响应曲面方法在稳健参数设计的基础上实现了对供应链总体绩效的进一步的优化，确定了优化目标下各个显著的可控因子在连续区间上的取值水平。最后，通过多响应优化方法，本文实现了综合考虑供应链总体利润和供应链总体库存的多目标优化，为解决供应链实际运营过程中的多目标决策问题提供了指导。
关键词： 供应链优化 仿真 稳健参数设计 响应曲面
毕业论文外文 摘 要
Title Supply chain optimization based on quality design technology
Abstract
This paper proposes a hybrid methodology of quality design technology to optimize the total performance of supply chain, in order to reduce the fluctuations in supply chain system. In the actual operation of supply chain, factors that influence the total performance of supply chain can be pided into controllable factors and noise factors. The controllable factor can be controlled and changed by enterprises, while noise factors are uncontrollable. The fluctuation of noise factors will lead to the uncertainties of the supply chain total performance.
Based on the classical case "beer game" in the field of supply chain simulation, this paper adopts robust parameter design method and response surface method to optimize the simulation model, in order to realize the optimal performance of supply chain. In this paper, the simulation model provides the experiment platform for these optimization methodology; Robust parameter design method achieves the optimization objective of minimizing the sensibility of the supply chain total performance caused by noise factors fluctuations, and obtains the optimal combination of controllable factors levels; Based on the results of robust parameter design , response surface method optimizes supply chain total performance furthermore, and determines the optimal combination of the significant controllable factor levels on the continuous intervals. Finally, this paper has realized multi-objective optimization of supply chain total profit and total inventory through multiple response optimization method, which provides guidance for solving the multi-objective decision problems in the supply chain operation.
Keywords: Supply chain optimization; Simulation; Robust parameter design; Response surface
目 次
1 绪论 1
1.1 研究背景与意义 1
1.2 国内外文献综述 1
1.3 研究内容与技术路线 3
2 供应链模型 5
2.1 供应链结构 5
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