Robust optimization design of multi-echelon supply chain based on Kriging meta-model

被引：0

作者：

Zhu L. ^{[1
]}

Wu F. ^{[2
]}

Ouyang L. ^{[3
]}

机构：

[1] Department of Education and Science, Nanjing Polytechnic Institute, Nanjing

[2] School of Economics and Management, Anhui Polytechnic University, Wuhu

[3] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 01期

关键词：

arena simulation; desirability function approach; Kriging meta-model; multi-echelon supply chain; robust parameter design;

D O I：

10.13196/j.cims.2021.0804

中图分类号：

学科分类号：

摘要：

Due to the structural complexity and multiple objectives of multi-echelon supply chain, the influence of uncertain factors on its overall performance could not be ignored. To estimate the impact of uncertain factors on its overall performance? the arena simulation and Kriging meta-modeling technology were integrated to construct Kriging mean and standard deviation meta-models of multiple performance response indicators based on the idea of robust parameter design. With the help of the constructed Kriging meta-models and satisfaction function method, a robust comprehensive satisfaction optimization design strategy based on Kriging meta-model was given. The influence of uncertain factors on the robust optimization solution was measured by the nonparametric bootstrap sampling method, which was compared with the robust optimization method based on polynomial model. Simulation results show that the proposed method can effectively solve the robust optimization problem of multi-echelon supply chain with multiple performance response under uncertain parameters. The proposed method could ensure the supply chain system to achieve the desired optimal performance by minimizing the impact of uncertain factors on the supply chain performance? which provided a theoretical basis and decision-making reference for the stable operation of multi-echelon supply chain. © 2024 CIMS. All rights reserved.

引用

页码：396 / 406

页数：10

共 30 条

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