Research on Enterprise Optimization Scheme based on Grey Correlation Entropy Weight Method and Multi-Objective Programming

Xiaolu Jiang, Bin Chen
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Abstract

This paper establishes a comprehensive evaluation model based on entropy weight method and grey correlation analysis method, quantifies the importance of each supplier to the enterprise, and finally gives the ordering and transportation plan of the enterprise in the next 24 weeks. Firstly, four indicators reflecting the characteristics of suppliers are mined based on the order quantity and supply quantity. Then the entropy weight method is used to calculate the weight of each index, and the two methods of normalization, weighting and grey correlation analysis are directly quantified respectively to obtain the most important 50 suppliers. After comparison, it is found that the 5-year supply quantity of suppliers obtained by the entropy-grey correlation analysis model is 4302,643m3, accounting for 97.79% of the total supply quantity of 204 suppliers, which is 3.3% better than the result obtained by direct entropy weight method. Then, the supply quantity of the next 24 weeks is obtained through the time series prediction model and statistical analysis method, and the minimum number of suppliers is 37, as well as the corresponding ordering and transportation plan of the next 24 weeks, and the plan is analyzed through visualization.
基于灰色关联熵权法和多目标规划的企业优化方案研究
本文建立了基于熵权法和灰色关联分析法的综合评价模型,量化了各供应商对企业的重要性,最后给出了企业未来24周的订货和运输计划。首先,基于订货量和供给量挖掘出反映供应商特征的四个指标。然后利用熵权法计算各指标的权重,分别采用归一化、加权和灰色关联分析两种方法直接量化,得到最重要的50家供应商。对比发现,采用熵灰关联分析模型得到的供应商5年供给量为4302,643m3,占204家供应商总供给量的97.79%,比直接熵权法得到的结果提高了3.3%。然后,通过时间序列预测模型和统计分析方法得到未来24周的供应量,最小供应商数量为37家,以及相应的未来24周的订货和运输计划,并通过可视化分析计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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