Complex effects of cooperative behavior on authorized remanufacturing supply chain decisions under subsidies.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 03 02 2023
accepted: 09 09 2023
medline: 25 9 2023
pubmed: 21 9 2023
entrez: 21 9 2023
Statut: epublish

Résumé

In this study, the dynamic effects of new product supply chain cooperation behavior on optimal government subsidies and supply chain decision-making are studied by establishing a nonlinear discrete inventory decision system; In this system, the government subsidizes authorized remanufacturers to promote remanufacturing, and cooperative behavior exists in the supply chain of new products. The research method is modeling and simulation of a supply chain system based on nonlinear system dynamics theory. The complexity analysis includes the stability analysis of the decision system, the path of the system into chaos, the change of entropy of the system and the performance in chaos system. Our findings indicate that the optimal government subsidy in the cooperative model is lower than that in the non-cooperative model. Consumer surplus is the main reason for the subsidy difference between the two models. In comparison with the cooperative supply chain, the stability of the non-cooperative supply chain is more easily affected by government subsidies. Further, the market is more likely to enter chaos due to improper adjustment of the new products' inventory with cooperative behavior in the supply chain of new products. When the system enters chaos, the new product supply chain's profit in the cooperative system is more likely to be far lower than the equilibrium profit. This study provides a theoretical reference for supply chain inventory management and government subsidy remanufacturer decision-making from the perspective of dynamic systems science.

Identifiants

pubmed: 37733716
doi: 10.1371/journal.pone.0291940
pii: PONE-D-23-03120
pmc: PMC10513259
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0291940

Informations de copyright

Copyright: © 2023 Zhang, Zhang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

PLoS One. 2023 Apr 20;18(4):e0284693
pubmed: 37079531
Waste Manag. 2021 Feb 1;120:433-447
pubmed: 33139191
Environ Sci Technol. 2019 Oct 1;53(19):11294-11301
pubmed: 31461620
Technol Forecast Soc Change. 2022 Jun;179:121634
pubmed: 35400766
PLoS One. 2020 Aug 4;15(8):e0236354
pubmed: 32750058
Environ Sci Pollut Res Int. 2022 Aug;29(38):57543-57565
pubmed: 35353306
Int J Environ Res Public Health. 2022 Jun 01;19(11):
pubmed: 35682364

Auteurs

Ling Zhang (L)

Business School, University of Shanghai for Science and Technology, Shanghai, China.

Zheng Zhang (Z)

Business School, University of Shanghai for Science and Technology, Shanghai, China.

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