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Active management strategy for supply chain system using nonlinear control synthesis
Nonlinear dynamical behaviours with chaotic phenomena are commonly observed in a typical logistics model and supply chain system. Bullwhip effect has been widely recognized as one of the main issues on affecting the supply chain management. In essence, this phenomenon will lead to unnecessary consum...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916510/ https://www.ncbi.nlm.nih.gov/pubmed/35310521 http://dx.doi.org/10.1007/s40435-021-00901-5 |
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author | Xu, Xiao Kim, Hwan-Seong You, Sam-Sang Lee, Sang-Do |
author_facet | Xu, Xiao Kim, Hwan-Seong You, Sam-Sang Lee, Sang-Do |
author_sort | Xu, Xiao |
collection | PubMed |
description | Nonlinear dynamical behaviours with chaotic phenomena are commonly observed in a typical logistics model and supply chain system. Bullwhip effect has been widely recognized as one of the main issues on affecting the supply chain management. In essence, this phenomenon will lead to unnecessary consumption and waste of natural and social resources by demand variability amplification as moving up in the supply chain networks. However, traditional modelling approaches may become complicated in dealing with uncertainty and chaotic behaviour that are prevalent in real supply chains. System dynamics theory has been employed as a potentially effective strategy to cope with chaotic supply chains which are unpredictable behaviours in time. Four-dimensional differential equations which exhibit chaotic behaviours are constructed to describe a multi-echelon supply chain with bullwhip effect. Furthermore, modern control theory is applied to deal with the multi-stage supply chain optimization problems against disruptions. Specifically, the novel fractional order adaptive sliding mode control (FO-ASMC) algorithm has been implemented for ensuring efficient supply chain management. In addition, the chaos synchronization scheme is implemented in an attempt to regulate the supply chain systems under the impact of extensive uncertainties caused by tumultuous real market. It is found that the chaos synchronization is effectively realised by new FO-ASMC theory to manage advanced supply chain networks. Finally, this advanced management optimization offers a new class of intelligent applications that connects demand to supply and planning to execution across the entire supply chains. |
format | Online Article Text |
id | pubmed-8916510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89165102022-03-14 Active management strategy for supply chain system using nonlinear control synthesis Xu, Xiao Kim, Hwan-Seong You, Sam-Sang Lee, Sang-Do Int J Dyn Control Article Nonlinear dynamical behaviours with chaotic phenomena are commonly observed in a typical logistics model and supply chain system. Bullwhip effect has been widely recognized as one of the main issues on affecting the supply chain management. In essence, this phenomenon will lead to unnecessary consumption and waste of natural and social resources by demand variability amplification as moving up in the supply chain networks. However, traditional modelling approaches may become complicated in dealing with uncertainty and chaotic behaviour that are prevalent in real supply chains. System dynamics theory has been employed as a potentially effective strategy to cope with chaotic supply chains which are unpredictable behaviours in time. Four-dimensional differential equations which exhibit chaotic behaviours are constructed to describe a multi-echelon supply chain with bullwhip effect. Furthermore, modern control theory is applied to deal with the multi-stage supply chain optimization problems against disruptions. Specifically, the novel fractional order adaptive sliding mode control (FO-ASMC) algorithm has been implemented for ensuring efficient supply chain management. In addition, the chaos synchronization scheme is implemented in an attempt to regulate the supply chain systems under the impact of extensive uncertainties caused by tumultuous real market. It is found that the chaos synchronization is effectively realised by new FO-ASMC theory to manage advanced supply chain networks. Finally, this advanced management optimization offers a new class of intelligent applications that connects demand to supply and planning to execution across the entire supply chains. Springer Berlin Heidelberg 2022-03-11 2022 /pmc/articles/PMC8916510/ /pubmed/35310521 http://dx.doi.org/10.1007/s40435-021-00901-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Xu, Xiao Kim, Hwan-Seong You, Sam-Sang Lee, Sang-Do Active management strategy for supply chain system using nonlinear control synthesis |
title | Active management strategy for supply chain system using nonlinear control synthesis |
title_full | Active management strategy for supply chain system using nonlinear control synthesis |
title_fullStr | Active management strategy for supply chain system using nonlinear control synthesis |
title_full_unstemmed | Active management strategy for supply chain system using nonlinear control synthesis |
title_short | Active management strategy for supply chain system using nonlinear control synthesis |
title_sort | active management strategy for supply chain system using nonlinear control synthesis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916510/ https://www.ncbi.nlm.nih.gov/pubmed/35310521 http://dx.doi.org/10.1007/s40435-021-00901-5 |
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