Power battery recycling strategy with government rewards and punishments

Gu, Sheng-qiang; Liu, Yong; Yu, Hongtao

doi:10.1007/s12597-022-00618-9

Cited by 7 publications

(4 citation statements)

References 28 publications

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“…The current body of literature indicates that proficient management of closed-loop supply chains can lead to beneficial outcomes in economic, environmental, and societal spheres. In another study, Gu et al [14] examined the influence of governmental incentives on the recycling strategies for electric vehicle batteries. They assessed the economic repercussions of these recycling initiatives through the incorporation of policy analysis.…”

Section: Research Progress In Closed-loop Supply Chain and Reverse Lo...mentioning

confidence: 99%

Modeling the Decision and Coordination Mechanism of Power Battery Closed-Loop Supply Chain Using Markov Decision Processes

Zhang,

Li,

Lin

2024

Sustainability

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With the rapid growth of the new energy vehicle market, efficient management of the closed-loop supply chain of power batteries has become an important issue. Effective closed-loop supply chain management is very critical, which is related to the efficient utilization of resources, environmental responsibility, and the realization of economic benefits. In this paper, the Markov Decision Process (MDP) is used to model the decision-making and coordination mechanism of the closed-loop supply chain of power batteries in order to cope with the challenges in the management process, such as cost, quality, and technological progress. By constructing the MDP model for different supply chain participants, this paper investigates the optimization strategy of the supply chain and applies two solution methods: dynamic programming and reinforcement learning. The case study results show that the model can effectively identify optimized supply chain decisions, improve the overall efficiency of the supply chain, and coordinate the interests among parties. The contribution of this study is to provide a new modeling framework for power battery recycling and to demonstrate the practicality and effectiveness of the method with empirical data. This study demonstrates that the Markov decision-making process can be a powerful tool for closed-loop supply chain management, promotes a deeper understanding of the complex decision-making environment of the supply chain, and provides a new solution path for decision-making and coordination in the supply chain.

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Section: Research Progress In Closed-loop Supply Chain and Reverse Lo...mentioning

confidence: 99%

Modeling the Decision and Coordination Mechanism of Power Battery Closed-Loop Supply Chain Using Markov Decision Processes

Zhang,

Li,

Lin

2024

Sustainability

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“…In terms of coordination, Johari and Hosseini‐Motlagh (2019) propose a coordinated dual‐channel model composing of a battery remanufacturer, retailer, and recycler and explore different optimal decisions in a competitive environment to achieve sustainability. Gu et al (2023) construct an industrial alliance for power battery recycling, consisting of a leading manufacturer and retailers. Then, they study the power battery recycling issues under this model, discuss the available decisions during the recycling process, analyze the impact of government reward and punishment measures, and design a coordination mechanism.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi‐agent behavioral strategy game and synergy evolution path of the retired power battery recycling system

Wang,

Wu,

Zhang

et al. 2024

Manage Decis Econ

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In the era of transitioning to a low‐carbon economy, China's electric vehicle market is experiencing exponential growth, a trend that is mirrored by the burgeoning market for the recycling of used power batteries. This rapid expansion underscores the urgency of enhancing the power battery recycling system. However, the lack of sufficient engagement from consumers and recyclers in the recycling system currently impedes the formation of a cohesive recycling effort. To tackle this issue, we introduce a tripartite evolutionary game model involving the government, battery recyclers, and consumers. By analyzing the evolutionary stability strategies (ESSs) and their stability conditions, we delineate the synergetic development paths of them. Numerical examples illustrate the model's effectiveness and explore how government incentive policies can affect the strategic decisions of other participants. Our findings suggest that establishing incentive policies by the government in the early stage of the power battery industry is crucial for fostering a synergetic recycling system that is led by the government, involved by the community, and driven by the market.

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“…Energy saving and emission control is a hot topic because of the shortage of natural resources and the continuous augmentation of greenhouse gases. 1 So, sustainable energy sources, solar energy, 2 tidal energy, 3 biomass, 4 power battery 5 and other emerging energy sources are available and a zero-carbon target is proposed. 6 Actually, the major contributor of greenhouse gas emissions, i.e., fuel combustion or engines, is gradually replaced by battery-driven.…”

Section: Introductionmentioning

confidence: 99%

“…Gu et al. 5 introduced a government incentive and punishment model to impact battery market recycling rates. Various recycling technologies are depicted, i.e., physical recycling, direct recycling, pyrometallurgical, and hydrometallurgy recycling methods, which promote the green transformation.…”

Section: Introductionmentioning

confidence: 99%

Recycling technologies, policies, prospects, and challenges for spent batteries

Kang,

Huang,

Peng

et al. 2023

iScience

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Power battery recycling strategy with government rewards and punishments

Cited by 7 publications

References 28 publications

Modeling the Decision and Coordination Mechanism of Power Battery Closed-Loop Supply Chain Using Markov Decision Processes

Modeling the Decision and Coordination Mechanism of Power Battery Closed-Loop Supply Chain Using Markov Decision Processes

Multi‐agent behavioral strategy game and synergy evolution path of the retired power battery recycling system

Recycling technologies, policies, prospects, and challenges for spent batteries

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