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Algorithm Research & Explore
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2718-2725

Study on pricing strategy of remanufacturing closed-loop supply chain based on uncertainty of recovery products quality and government double participation

Jia Xiaoxia
School of Management, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

Based on the actual consideration of the uncertainty of recovery products quality, this paper used the Stackelberg game theory to study the pricing decision of remanufacturing closed-loop supply chain under the government subsidy and carbon tax dual mechanism. It compared and analyzed the pricing decisions, profits, and carbon emissions of various members of the supply chain under different government mechanisms, and used the numerical simulation method to analyze the effect of subsidy quota and carbon tax rate on the pricing decision of closed-loop supply chain, the profits of each member in the supply chain, and the carbon emission of the supply chain. At the same time, it also analyzed the impact of recycling quality on the closed-loop supply chain. The results show that compared with the single mechanism, the double participation in subsidy and carbon tax improves the market inactivity caused by the government's action and promotes the recycling and remanufacturing of the closed-loop supply chain more effectively. No matter under what kind of mechanism, improving the recycling quality of used products increases the recycling of used products, the profit of manufacturer, third-party recycler, and the supply chain, and reduces carbon emission of the supply chain. The content and result of this research provide proposals for the government to adopt suitable policies to promote the sustainable operation of the closed-loop supply chain.

Foundation Support

国家自然科学基金资助项目(71801150)
上海市社科规划一般课题(2019BCK011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0144
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2718-2725
Serial Number: 1001-3695(2020)09-031-2718-08

Publish History

[2020-09-05] Printed Article

Cite This Article

贾晓霞. 基于回收质量不确定与政府双参与的再制造闭环供应链定价策略研究 [J]. 计算机应用研究, 2020, 37 (9): 2718-2725. (Jia Xiaoxia. Study on pricing strategy of remanufacturing closed-loop supply chain based on uncertainty of recovery products quality and government double participation [J]. Application Research of Computers, 2020, 37 (9): 2718-2725. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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