Evolutionary game analysis of vehicle procurement in the courier industry from the perspective of green supply chain

被引:3
作者
Shi, Wenqiang [1 ]
Hu, Qiaodeng [1 ]
Zhou, Yimeng [2 ]
机构
[1] Jiangxi Univ Finance & Econ, Sch Business Adm, Nanchang, Peoples R China
[2] South Grid Capital Holdings Co Ltd, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Courier industry; Green supply chain; Evolutionary game model; Numerical simulation; SELECTION; SYSTEM;
D O I
10.5267/j.ijiec.2023.10.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the contemporary era, green development has become integral to modern industrial supply chains. Accelerating the green transformation of the supply chain in the express delivery industry poses a significant challenge in China. To address this challenge, we establish a trilateral evolutionary game model that considers the interdependent constraints involving the government, vehicle suppliers, and courier companies. This model aims to explore the optimal stable decisions for each stakeholder and the entire supply chain system. Through numerical simulations, we analyze the impact of key parameters on the stability of strategies and find that there are four Evolutionary Stable Strategies (ESS) in the system. Economic factors play a dual role: income related factors encourage the adoption of green strategies by stakeholders, whereas cost-related factors extend the time required for stakeholders to transition to green strategies. For sustained production and utilization of new energy vehicles, the government must utilize a balanced system of rewards and penalties effectively. Vehicle suppliers and courier companies should collaborate for mutually beneficial outcomes, jointly fostering the green transformation of the supply chain with a focus on cost reduction and efficiency improvement. This study offers theoretical insights and methodological support for decision-makers in green supply chain management.
引用
收藏
页码:223 / 234
页数:12
相关论文
共 22 条
  • [1] The impact of path selection on GHG emissions in city logistics
    Behnke, Martin
    Kirschstein, Thomas
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2017, 106 : 320 - 336
  • [2] A QFD-based expert system for industrial truck selection in manufacturing organizations
    Chakraborty, Shankar
    Prasad, Kanika
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2016, 27 (06) : 800 - 817
  • [3] Optimal equipment deployment for biomass terminal operations
    Dafnomilis, I.
    Duinkerken, M. B.
    Junginger, M.
    Lodewijks, G.
    Schott, D. L.
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 115 : 147 - 163
  • [4] A nontrivial solution for a nonautonomous Choquard equation with general nonlinearity
    Ding, Ling
    Liu, Jiu
    Yuan, Yan-Xiang
    [J]. ELECTRONIC JOURNAL OF QUALITATIVE THEORY OF DIFFERENTIAL EQUATIONS, 2022, (66) : 1 - 11
  • [5] A novel facility and equipment selection model for whey utilisation: A Brazilian case study
    Garcia-Flores, Rodolfo
    Martins, Ricardo
    de Souza Filho, Osmar Vieira
    Gonzalez, Marcelo
    Mattos, Carlos
    Rosenthal, Amauri
    Juliano, Pablo
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2015, 117 : 127 - 140
  • [6] A routing defense mechanism using evolutionary game theory for Delay Tolerant Networks
    Guo, Hang
    Wang, Xingwei
    Cheng, Hui
    Huang, Min
    [J]. APPLIED SOFT COMPUTING, 2016, 38 : 469 - 476
  • [7] Comparison of multi-criteria decision-making methods for equipment selection
    Hodgett, Richard Edgar
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 85 (5-8) : 1145 - 1157
  • [8] Jie X., 2021, OPERATIONS RESOURCE, V30
  • [9] Smart Logistics-Sustainable Technological Innovations in Customer Service at the Last-Mile Stage: The Polish Perspective
    Kolasinska-Morawska, Katarzyna
    Sulkowski, Lukasz
    Bula, Piotr
    Brzozowska, Marta
    Morawski, Pawel
    [J]. ENERGIES, 2022, 15 (17)
  • [10] Historical evolution and benefit-cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework
    Liu, Dehai
    Xiao, Xingzhi
    Li, Hongyi
    Wang, Weiguo
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 243 (03) : 974 - 984