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Fuzzy optimization of remanufacturing green supply chain network under incentive compatibility theory

Wang Zhen
Ye Chunming
Guo Jianquan
School of Management, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

To investigate the role of government intervention in supply chain recovery networks. This paper proposed a multi-period, multi-objective optimization model based on incentive compatibility theory, aiming at the lowest total cost, minimal carbon emissions, and maximum big data investment returns. The method used multi-objective triangular fuzzy numbers and an improved hybrid algorithm to solve the model. The results showed that the improved hybrid algorithm had strong solving capabilities for multi-period, multi-objective recovery networks, and government policies could compensate for the weak emission reduction capabilities of the manufacturing industry. The conclusions are as follows: the use of artificial intelligence technology in recovery and remanufacturing enhances the competitiveness of manufacturing enterprises; government guidance helps enterprises achieve industrial upgrading.

Foundation Support

上海市哲学社会科学规划项目(2022BGL010)
国家自然科学基金资助项目(71840003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0156
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-11] Accepted Paper

Cite This Article

王振, 叶春明, 郭健全. 激励相容理论下再制造绿色供应链网络模糊优化 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.06.0156. (Wang Zhen, Ye Chunming, Guo Jianquan. Fuzzy optimization of remanufacturing green supply chain network under incentive compatibility theory [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.06.0156. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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