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Research on a collaboration model of green closed-loop supply chains towards intelligent manufacturing

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Abstract

A closed-loop supply chain (CLSC) is a complete supply chain cycle that closes the flow of logistics from procurement to sales to reduce pollution and optimize returns. In this paper, we aim to address the problems of uncertain supply and demand, environmental pollution and the bullwhip effect in CLSCs. This paper constructs a green CLSC collaboration model with intelligent manufacturing and proposes a neural fictitious self-play (NFSP) algorithm based on reinforcement learning. A complete green CLSC collaboration model is constructed by modeling and analyzing indicators such as recycling prices and price sensitivity in the intelligent manufacturing supply chain, and dual-channel independent recycling and green dual-channel hybrid models are considered. Then, the ADMM algorithm is used in advance to solve the initial value of the mixed model, and the NFSP algorithm based on deep Q-learning is proposed to solve the green CLSC collaboration model. Studies have shown that the green CLSC collaboration model with intelligent manufacturing is an environmentally friendly solution that closely connects recyclers and retailers: it is an intelligent and efficient supply chain model.

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Acknowledgments

Thank you for the support and help of the team when writing the paper. Thank you to the reviewers and experts of your magazine for their valuable opinions on the article revision. This author was greatly inspired during the review and rewriting process.

Data availability

The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

All data, models, and code generated or used during the study appear in the submitted article.

Funding

This paper was supported by the National Natural Science Foundation of China(62172235,61802208, 61876089 and 61772286), Natural Science Foundation of Jiangsu Province of China (BK20191381), Primary Research & Development Plan of Jiangsu Province Grant (BE2019742), the Opening Project of Jiangsu Key Laboratory of Data Science and Smart Software (No.2020DS301).

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Authors and Affiliations

  1. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Jin Qi, Yaochen Ling, Binglong Ji, Yali Liu, Bin Xu & Yanfei Sun

  2. NanJing Pharmaceutical Co., Ltd., Nanjing, 21000, China

    Jin Qi & Bin Xu

  3. Electrical and Computer Engineering, College of Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Zixin Shen

  4. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Yu Xue

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  1. Jin Qi
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  2. Yaochen Ling
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  3. Binglong Ji
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  4. Yali Liu
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  6. Bin Xu
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  7. Yu Xue
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  8. Yanfei Sun
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Correspondence to Yanfei Sun.

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Qi, J., Ling, Y., Ji, B. et al. Research on a collaboration model of green closed-loop supply chains towards intelligent manufacturing. Multimed Tools Appl 81, 40609–40634 (2022). https://doi.org/10.1007/s11042-021-11727-w

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  • DOI: https://doi.org/10.1007/s11042-021-11727-w

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