Research on Optimal Ordering Scheme of Raw Materials Based on Multi-Objective Programming Model
Abstract
according to different ordering objectives,and determines the maximum potential of enterprise capacity improvement by predicting
the upper limit of suppliers’supply capacity.Firstly,we establish a multi-objective programming model aiming at the lowest cost,and
then use genetic algorithm to determine the specific ordering scheme.Finally,through sensitivity analysis,it is found that the cost
fluctuation under the optimal ordering scheme is within a certain range and does not change much.Combined with the distribution
diagram of supplier completion rate,it can be seen that the completion rate of most suppliers is relatively stable.
Keywords
Full Text:
PDFReferences
[1] Jiang Qiyuan(1990),mathematical model[M],Beijing:Higher Education Press.
[2] Author[US]Harrington(2013),machine learning practice[M],people’s Posts and Telecommunications Press.
[3] 2020.Chinese version matlab2018 from introduction to mastery(practical case version)[M],China water resources and Hydropower Press.
[4] Min Xufeng(2019).vehicle raw material classification and ordering strategy optimization based on AHP&ABC https://xueshu.baidu.com/usercenter/paper/show?paperid=34497fb86efc09425d995251a54e514b&site=xueshu_se .
[5] Li Huishan,Shi Xiaoqin..research on selection of construction suppliers under low carbon supply chain based on anp-topsis https://x.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDTOTAL&filename=fcyy202012026 2021,9,10
DOI: https://doi.org/10.18282/l-e.v10i3.2397
Refbacks
- There are currently no refbacks.
