Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)

<Previous Article In Volume
Next Article In Volume>

Robust Optimization of Closed-Loop Supply Chain Operations under Third-Party Recycling Volume Uncertainty Analysis

Authors
Ni Yang1, *
1Fuzhou University, Fuzhou, China
*Corresponding author. Email: 692676535@qq.com
Corresponding Author
Ni Yang
Available Online 19 December 2024.
DOI
10.2991/978-94-6463-598-0_6How to use a DOI?
Keywords
closed-loop supply chain; robust optimization; uncertainty
Abstract

In order to improve the collaborative operation performance of a closed-loop supply chain system under the uncertain environment of waste product recycling volume, a multi-objective robust optimization method based on scenario analysis was developed for a third-party recycling-type closed-loop supply chain system consisting of suppliers, manufacturers and third-party recycling-type closed-loop supply chain system composed of suppliers, manufacturers and recycling processing centers, a multi-objective robust optimization model is established using a robust optimization method based on scenario analysis.. The model takes into full consideration the overall coordination of the system operation and also meets the profit maximization goal of each enterprise. The example analysis shows that through the robust optimization analysis shows that through the robust optimization control, the overall profit of the system and the profit of each enterprise can be stabilized within a certain range under the fluctuation of the recycling volume of waste products. When the recycling rate is increased, the overall profit of each enterprise and the system can be increased significantly.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
19 December 2024
ISBN
978-94-6463-598-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-598-0_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ni Yang
PY  - 2024
DA  - 2024/12/19
TI  - Robust Optimization of Closed-Loop Supply Chain Operations under Third-Party Recycling Volume Uncertainty Analysis
BT  - Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)
PB  - Atlantis Press
SP  - 39
EP  - 48
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-598-0_6
DO  - 10.2991/978-94-6463-598-0_6
ID  - Yang2024
ER  -