Decision Model of Double Channel Recycling Closed Loop Supply Chain Considering Service Level

Hongsheng Sun, Hao Zhang, Baoyu Li

2022

Abstract

With the development of economy and the iteration and upgrading of science and technology, the upgrading rate of electronic products has been gradually accelerated. Improving the recycling volume of waste electronic products and forming a standardized recycling system are the key issues facing the current recycling link. Under this background, based on Stackelberg game model, the author establishes a closed loop supply chain model of dual channel recycling of waste electronic products, and takes profit maximization as the decision objective to conduct a numerical analysis. The paper proves that under certain conditions, consumers’ online channel preference will promote the profits and recycling capacity of the supply chain system, and improve the service level of recycling participants, which has a positive effect on the system profits.

Paper Citation

in Harvard Style

Sun H., Zhang H. and Li B. (2022). Decision Model of Double Channel Recycling Closed Loop Supply Chain Considering Service Level. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 730-735. DOI: 10.5220/0012042900003620

in Bibtex Style

@conference{icemme22,
author={Hongsheng Sun and Hao Zhang and Baoyu Li},
title={Decision Model of Double Channel Recycling Closed Loop Supply Chain Considering Service Level},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={730-735},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012042900003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Decision Model of Double Channel Recycling Closed Loop Supply Chain Considering Service Level
SN - 978-989-758-636-1
AU - Sun H.
AU - Zhang H.
AU - Li B.
PY - 2022
SP - 730
EP - 735
DO - 10.5220/0012042900003620
PB - SciTePress