Developing Pricing Strategy in a Closed-Loop Supply Chain for Electric Vehicle Batteries With a Government Reward and Punishment Mechanism

被引:0
|
作者
Wang, Zhiguo [1 ]
He, Xiao [2 ]
机构
[1] Nantong Univ, Econ & Management Sch, Nantong, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai, Peoples R China
关键词
Closed-Loop Supply Chain; Echelon Utilization; Electric Vehicle Battery; Government Reward and Punishment Mechanism; Pricing Decision; END-OF-LIFE; CAP-AND-TRADE; DUAL-CHANNEL; REVERSE LOGISTICS; POLICIES; COORDINATION; COMPETITION; DECISIONS; PRODUCTS; QUALITY;
D O I
10.4018/JGIM.332232
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Electric vehicles are expected to become a major means of transportation in the future, but entail the challenge of collecting used electric vehicle batteries. This article examines pricing strategies in a closed-loop dual-channel supply chain for electric vehicle batteries both with and without a governmental reward and punishment mechanism. The discussion considers the optimal pricing strategy considering the competition between dual collecting channels, both with the government's reward and punishment mechanism and without it. The degree of influence of government mechanisms, echelon utilization, and EV battery collection on a) collection price, b) collection capacity, and c) the profit obtained by participants are also examined. The discussion shows that collection capacity, collection price, and recycler profits in the closed-loop EV battery supply chain could be improved with a government reward and punishment mechanism. Finally, the robustness of the proposed model was verified through numerical examples.
引用
收藏
页数:29
相关论文
共 50 条
  • [41] Acquisition pricing and remanufacturing decisions in a closed-loop supply chain
    He, Yuanjie
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 163 : 48 - 60
  • [42] Supply and Demand in Smart Grid: A Closed-loop Pricing Strategy
    He, Jianping
    Zhao, Chengcheng
    Cai, Lin
    Cheng, Peng
    Shi, Ling
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 6004 - 6009
  • [43] Optimal Decisions of Electric Vehicle Closed-Loop Supply Chain under Government Subsidy and Varied Consumers' Green Awareness
    Wang, Juntao
    Li, Wenhua
    Mishima, Nozomu
    SUSTAINABILITY, 2023, 15 (15)
  • [44] 'Closed-loop supply chain models with bundling strategy'
    Jena, Sarat Kumar
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2021, 14 (06) : 1433 - 1450
  • [45] Optimising quantity of manufacturing and remanufacturing in an electric vehicle battery closed-loop supply chain
    Gu, Xiaoyu
    Ieromonachou, Petros
    Zhou, Li
    Tseng, Ming-Lang
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2018, 118 (01) : 283 - 302
  • [46] Incentive Strategies of Different Channels in an Electric Vehicle Battery Closed-Loop Supply Chain
    Song, Hongfang
    Chu, Hongrui
    7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2019): INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT BASED ON ARTIFICIAL INTELLIGENCE, 2019, 162 : 634 - 641
  • [47] Corporation social responsibility apportionment mechanism and pricing strategy for closed-loop supply chain under different power structures
    Liu S.
    Yao F.-M.
    Chen D.-Y.
    Teng C.-X.
    Kongzhi yu Juece/Control and Decision, 2020, 35 (06): : 1525 - 1536
  • [48] Optimal pricing strategy in the closed-loop supply chain using game theory under government subsidy scenario: A case study
    Sadrabadi, Mohammad Hossein Dehghani
    Makui, Ahmad
    Ghousi, Rouzbeh
    Jabbarzadeh, Armin
    JOURNAL OF ENERGY STORAGE, 2024, 87
  • [49] Pricing and strategy selection in a closed-loop supply chain under demand and return rate uncertainty
    Dong, Jingfeng
    Sun, Shufa
    Gao, Guichen
    Yang, Ruoyi
    4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2021, 19 (04): : 501 - 530
  • [50] Pricing and strategy selection in a closed-loop supply chain under demand and return rate uncertainty
    Jingfeng Dong
    Shufa Sun
    Guichen Gao
    Ruoyi Yang
    4OR, 2021, 19 : 501 - 530