Cargando…

The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service

In this paper, we study a dual-channel closed-loop supply chain in which a manufacturer considers the market waste products recovery and remanufacture, and a retailer considers provide services to customers. We build a Stackelberg game model and a centralized game model in a static and dynamic state...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Qiuxiang, Shi, Mengnan, Deng, Qing, Huang, Yi-min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515156/
https://www.ncbi.nlm.nih.gov/pubmed/33267373
http://dx.doi.org/10.3390/e21070659
_version_ 1783586754221047808
author Li, Qiuxiang
Shi, Mengnan
Deng, Qing
Huang, Yi-min
author_facet Li, Qiuxiang
Shi, Mengnan
Deng, Qing
Huang, Yi-min
author_sort Li, Qiuxiang
collection PubMed
description In this paper, we study a dual-channel closed-loop supply chain in which a manufacturer considers the market waste products recovery and remanufacture, and a retailer considers provide services to customers. We build a Stackelberg game model and a centralized game model in a static and dynamic state, respectively, and analyze the two dynamic models by mathematical analysis and explore the stability and entropy of the two models using bifurcation, the basin of attraction, chaotic attractors, and so on. The influences of service level and profit distribution rate on the system’s profit are discussed. The theoretical results show that higher price adjustment speed will lead to the system lose stability with a larger entropy value. In the Stackelberg game model, the stability of the system increases as the service value and the recovery rate increases; in the centralized model, the stability of the system decreases with the increase of the service value and increases with the recovery rate increases. When the Stackelberg game model is in a stable state, the manufacturer’s profit increases first and then decreases, and the retailer’s profit first decreases and then increases as the service value of the retailer increases. The research will serve as good guidance for both the manufacturer and retailer in dual-channel closed-loop supply chains to improve decision making.
format Online
Article
Text
id pubmed-7515156
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75151562020-11-09 The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service Li, Qiuxiang Shi, Mengnan Deng, Qing Huang, Yi-min Entropy (Basel) Article In this paper, we study a dual-channel closed-loop supply chain in which a manufacturer considers the market waste products recovery and remanufacture, and a retailer considers provide services to customers. We build a Stackelberg game model and a centralized game model in a static and dynamic state, respectively, and analyze the two dynamic models by mathematical analysis and explore the stability and entropy of the two models using bifurcation, the basin of attraction, chaotic attractors, and so on. The influences of service level and profit distribution rate on the system’s profit are discussed. The theoretical results show that higher price adjustment speed will lead to the system lose stability with a larger entropy value. In the Stackelberg game model, the stability of the system increases as the service value and the recovery rate increases; in the centralized model, the stability of the system decreases with the increase of the service value and increases with the recovery rate increases. When the Stackelberg game model is in a stable state, the manufacturer’s profit increases first and then decreases, and the retailer’s profit first decreases and then increases as the service value of the retailer increases. The research will serve as good guidance for both the manufacturer and retailer in dual-channel closed-loop supply chains to improve decision making. MDPI 2019-07-04 /pmc/articles/PMC7515156/ /pubmed/33267373 http://dx.doi.org/10.3390/e21070659 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Qiuxiang
Shi, Mengnan
Deng, Qing
Huang, Yi-min
The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service
title The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service
title_full The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service
title_fullStr The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service
title_full_unstemmed The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service
title_short The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service
title_sort complexity entropy analysis of a supply chain system considering recovery rate and channel service
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515156/
https://www.ncbi.nlm.nih.gov/pubmed/33267373
http://dx.doi.org/10.3390/e21070659
work_keys_str_mv AT liqiuxiang thecomplexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT shimengnan thecomplexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT dengqing thecomplexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT huangyimin thecomplexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT liqiuxiang complexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT shimengnan complexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT dengqing complexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice
AT huangyimin complexityentropyanalysisofasupplychainsystemconsideringrecoveryrateandchannelservice