A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing

In view of the current situation that the maturity of enterprise intelligent manufacturing capability is generally low and the information asymmetry in the upstream and downstream of the supply chain is high, taking any supply and demand link in the supply chain as an example, a group of initial dem...

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Autores principales:	Minghao Zhang, Li Shi, Xiangzhi Zhuo, Yuan Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	intelligent manufacturing bullwhip effect demand forecasting variational mode decomposition support vector machine Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/c1d6e7d4abdf42268d22e5c83fd8f88e
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spelling	oai:doaj.org-article:c1d6e7d4abdf42268d22e5c83fd8f88e2021-11-25T18:50:46ZA Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing10.3390/pr91119572227-9717https://doaj.org/article/c1d6e7d4abdf42268d22e5c83fd8f88e2021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1957https://doaj.org/toc/2227-9717In view of the current situation that the maturity of enterprise intelligent manufacturing capability is generally low and the information asymmetry in the upstream and downstream of the supply chain is high, taking any supply and demand link in the supply chain as an example, a group of initial demand signals that change nonlinearly over time are divided into intrinsic mode functions and noise residuals with different data characteristics by means of the variational modal decomposition (VMD) algorithm. On the basis of signal denoising and reconstruction, the support vector machine (SVM) algorithm is used to make regression prediction of the reconstructed signal with each intrinsic mode function as sample attribute. Compared with the regression prediction results of the original demand signal, it is verified that the VMD-SVM bullwhip effect weakening model can effectively filter the demand noise generated by each link in the supply chain and improve the accuracy of demand information transmission. It has a certain reference value to the weakening of the bullwhip effect and the improvement of supply chain synergy efficiency.Minghao ZhangLi ShiXiangzhi ZhuoYuan LiuMDPI AGarticleintelligent manufacturingbullwhip effectdemand forecastingvariational mode decompositionsupport vector machineChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1957, p 1957 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	intelligent manufacturing bullwhip effect demand forecasting variational mode decomposition support vector machine Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	intelligent manufacturing bullwhip effect demand forecasting variational mode decomposition support vector machine Chemical technology TP1-1185 Chemistry QD1-999 Minghao Zhang Li Shi Xiangzhi Zhuo Yuan Liu A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing
description	In view of the current situation that the maturity of enterprise intelligent manufacturing capability is generally low and the information asymmetry in the upstream and downstream of the supply chain is high, taking any supply and demand link in the supply chain as an example, a group of initial demand signals that change nonlinearly over time are divided into intrinsic mode functions and noise residuals with different data characteristics by means of the variational modal decomposition (VMD) algorithm. On the basis of signal denoising and reconstruction, the support vector machine (SVM) algorithm is used to make regression prediction of the reconstructed signal with each intrinsic mode function as sample attribute. Compared with the regression prediction results of the original demand signal, it is verified that the VMD-SVM bullwhip effect weakening model can effectively filter the demand noise generated by each link in the supply chain and improve the accuracy of demand information transmission. It has a certain reference value to the weakening of the bullwhip effect and the improvement of supply chain synergy efficiency.
format	article
author	Minghao Zhang Li Shi Xiangzhi Zhuo Yuan Liu
author_facet	Minghao Zhang Li Shi Xiangzhi Zhuo Yuan Liu
author_sort	Minghao Zhang
title	A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing
title_short	A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing
title_full	A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing
title_fullStr	A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing
title_full_unstemmed	A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing
title_sort	bullwhip effect weakening approach based on vmd-svm algorithm under the background of intelligent manufacturing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c1d6e7d4abdf42268d22e5c83fd8f88e
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A Bullwhip Effect Weakening Approach Based on VMD-SVM Algorithm under the Background of Intelligent Manufacturing

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