IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v336y2024i3d10.1007_s10479-023-05432-0.html
   My bibliography  Save this article

A dynamic game approach to demand disruptions of green supply chain with government intervention (case study: automotive supply chain)

Author

Listed:
  • Tahereh Zaefarian

    (Islamic Azad University)

  • Atieh Fander

    (Iran University of Science and Technology)

  • Saeed Yaghoubi

    (Iran University of Science and Technology)

Abstract

Continuous changes in today’s market have exposed supply chain (SC) management to severe challenges. Such changes in the market are divided into two general categories: (1) Time-dependent changes such as political, economic, and cultural changes occurring over time and require decision-makers to consider the dynamics of decisions; and (2) Sudden changes and events such as diseases and natural disasters disrupting SCs. This paper investigates the impact of both changes on the decisions of a green supply chain. Moreover, these challenges may affect the organizations’ activities in the market and arouse a conflict in the members’ goals, leading to competition among members. This paper studies a game model for a dynamic–stochastic supply channel SC with one manufacturer and one retailer, where two types of products (green and non-green) are sold. In this study, two models are dynamically considered: The first model without demand disruptions and the second model with demand disruptions. Finally, the results are compared. On the other hand, due to environmental goals and to survive manufacturers under disruption, the government supports manufacturers in producing green products. Implementing this cooperation, the manufacturer also invests more in improving the greening level of green products, thereby enhancing its demand. Regarding numerous disruptions common in the automotive industry, this case study is conducted on the automotive supply chain to evaluate the models, and the results are presented in the form of numerical examples. Finally, to extract managerial insights, sensitivity analysis is performed on the main parameters of the problem.

Suggested Citation

  • Tahereh Zaefarian & Atieh Fander & Saeed Yaghoubi, 2024. "A dynamic game approach to demand disruptions of green supply chain with government intervention (case study: automotive supply chain)," Annals of Operations Research, Springer, vol. 336(3), pages 1965-2008, May.
    • Handle: RePEc:spr:annopr:v:336:y:2024:i:3:d:10.1007_s10479-023-05432-0
    DOI: 10.1007/s10479-023-05432-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-023-05432-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-023-05432-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Cheng-Han, 2021. "A dynamic perspective of government intervention in a competitive closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 294(1), pages 122-137.
    2. A. A. Elsadany & A. M. Awad, 2019. "Dynamics and chaos control of a duopolistic Bertrand competitions under environmental taxes," Annals of Operations Research, Springer, vol. 274(1), pages 211-240, March.
    3. Kicsiny, R., 2019. "Differential game model with discretized solution for distributing heat produced by solar heating systems," Renewable Energy, Elsevier, vol. 140(C), pages 330-340.
    4. Ali, Syed Mithun & Rahman, Md. Hafizur & Tumpa, Tasmia Jannat & Moghul Rifat, Abid Ali & Paul, Sanjoy Kumar, 2018. "Examining price and service competition among retailers in a supply chain under potential demand disruption," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 40-47.
    5. Shen, Lixin & Olfat, Laya & Govindan, Kannan & Khodaverdi, Roohollah & Diabat, Ali, 2013. "A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 170-179.
    6. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    7. Zongsheng Huang, 2020. "Stochastic Differential Game in the Closed-Loop Supply Chain with Fairness Concern Retailer," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    8. Ding, Zhanwen & Li, Qiang & Jiang, Shumin & Wang, Xuedi, 2015. "Dynamics in a Cournot investment game with heterogeneous players," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 939-950.
    9. Jie Yang & Hongming Xie & Guangsheng Yu & Mingyu Liu, 2021. "Antecedents and consequences of supply chain risk management capabilities: an investigation in the post-coronavirus crisis," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1573-1585, March.
    10. Cao, Erbao & Wan, Can & Lai, Mingyong, 2013. "Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions," International Journal of Production Economics, Elsevier, vol. 141(1), pages 425-433.
    11. Erickson, Gary M., 2011. "A differential game model of the marketing-operations interface," European Journal of Operational Research, Elsevier, vol. 211(2), pages 394-402, June.
    12. Chunhua Tang & Honglin Yang & Erbao Cao & Kin Keung Lai, 2018. "Channel competition and coordination of a dual-channel supply chain with demand and cost disruptions," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4999-5016, October.
    13. Xiao, Tiaojun & Qi, Xiangtong, 2008. "Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers," Omega, Elsevier, vol. 36(5), pages 741-753, October.
    14. Zhang, Michael & Bell, Peter C. & Cai, Gangshu (George) & Chen, Xiangfeng, 2010. "Optimal fences and joint price and inventory decisions in distinct markets with demand leakage," European Journal of Operational Research, Elsevier, vol. 204(3), pages 589-596, August.
    15. Zhang, Wei-Guo & Fu, Junhui & Li, Hongyi & Xu, Weijun, 2012. "Coordination of supply chain with a revenue-sharing contract under demand disruptions when retailers compete," International Journal of Production Economics, Elsevier, vol. 138(1), pages 68-75.
    16. Xiao, Lu & Liu, Jianyue & Ge, Jinwen, 2021. "Dynamic game in agriculture and industry cross-sectoral water pollution governance in developing countries," Agricultural Water Management, Elsevier, vol. 243(C).
    17. Zhang, Xiang, 2014. "Reference-dependent electric vehicle production strategy considering subsidies and consumer trade-offs," Energy Policy, Elsevier, vol. 67(C), pages 422-430.
    18. Salvo, Orlando de & Vaz de Almeida, Flávio G., 2019. "Influence of technologies on energy efficiency results of official Brazilian tests of vehicle energy consumption," Applied Energy, Elsevier, vol. 241(C), pages 98-112.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ji, Xiang & Sun, Jiasen & Wang, Zebin, 2017. "Turn bad into good: Using transshipment-before-buyback for disruptions of stochastic demand," International Journal of Production Economics, Elsevier, vol. 185(C), pages 150-161.
    2. Xiaofang Liu & Jian Li & Jun Wu & Guoqing Zhang, 2017. "Coordination of supply chain with a dominant retailer under government price regulation by revenue sharing contracts," Annals of Operations Research, Springer, vol. 257(1), pages 587-612, October.
    3. Liang, Guitian & Gu, Chaocheng, 2021. "The value of target sales rebate contracts in a supply chain with downstream competition," International Journal of Production Economics, Elsevier, vol. 242(C).
    4. Fariba Soleimani & Alireza Arshadi Khamseh & Bahman Naderi, 2016. "Optimal decisions in a dual-channel supply chain under simultaneous demand and production cost disruptions," Annals of Operations Research, Springer, vol. 243(1), pages 301-321, August.
    5. Seyyed-Mahdi Hosseini-Motlagh & Maryam Johari & Mohammadreza Nematollahi & Parvin Pazari, 2023. "Reverse supply chain management with dual channel and collection disruptions: supply chain coordination and game theory approaches," Annals of Operations Research, Springer, vol. 324(1), pages 215-248, May.
    6. Liu, Weihua & Liu, Yang & Zhu, Donglei & Wang, Yijia & Liang, Zhicheng, 2016. "The influences of demand disruption on logistics service supply chain coordination: A comparison of three coordination modes," International Journal of Production Economics, Elsevier, vol. 179(C), pages 59-76.
    7. Chernonog, Tatyana & Avinadav, Tal, 2019. "Pricing and advertising in a supply chain of perishable products under asymmetric information," International Journal of Production Economics, Elsevier, vol. 209(C), pages 249-264.
    8. Moon, Ilkyeong & Feng, Xuehao, 2017. "Supply chain coordination with a single supplier and multiple retailers considering customer arrival times and route selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 78-97.
    9. Han, Xiaohua & Wu, Haiyan & Yang, Qianxia & Shang, Jennifer, 2016. "Reverse channel selection under remanufacturing risks: Balancing profitability and robustness," International Journal of Production Economics, Elsevier, vol. 182(C), pages 63-72.
    10. Ali, Syed Mithun & Rahman, Md. Hafizur & Tumpa, Tasmia Jannat & Moghul Rifat, Abid Ali & Paul, Sanjoy Kumar, 2018. "Examining price and service competition among retailers in a supply chain under potential demand disruption," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 40-47.
    11. Cao, Erbao & Wan, Can & Lai, Mingyong, 2013. "Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions," International Journal of Production Economics, Elsevier, vol. 141(1), pages 425-433.
    12. Chirantan Mondal & Bibhas C. Giri, 2022. "Retailers’ competition and cooperation in a closed-loop green supply chain under governmental intervention and cap-and-trade policy," Operational Research, Springer, vol. 22(2), pages 859-894, April.
    13. Johannes Danusantoso & Scott A. Moses, 2016. "Disruption management in a two-period three-tier electronics supply chain," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1137138-113, December.
    14. Chen, Kebing & Xiao, Tiaojun, 2015. "Outsourcing strategy and production disruption of supply chain with demand and capacity allocation uncertainties," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 243-257.
    15. Xiaohua Han & Haiyan Wu & Qianxia Yang & Jennifer Shang, 2017. "Collection channel and production decisions in a closed-loop supply chain with remanufacturing cost disruption," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1147-1167, February.
    16. Zheng, Qi & Zhou, Li & Fan, Tijun & Ieromonachou, Petros, 2019. "Joint procurement and pricing of fresh produce for multiple retailers with a quantity discount contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 16-36.
    17. Pegah Bahrani & Alireza Arshadi Khamseh, 2020. "Competitive Environment Between Green and Non-green Products Considering Disruption and Alliance Strategy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 135-161, June.
    18. Seyyed-Mahdi Hosseini-Motlagh & Mona Jazinaninejad & Nazanin Nami, 2023. "Recall management in pharmaceutical industry through supply chain coordination," Annals of Operations Research, Springer, vol. 324(1), pages 1183-1221, May.
    19. Sacco, Armando & De Giovanni, Pietro, 2019. "Channel coordination with a manufacturer controlling the price and the effect of competition," Journal of Business Research, Elsevier, vol. 96(C), pages 97-114.
    20. Xuyue Li, 2018. "Competing Retailers’ Environmental Investment: An Analysis under Different Power Structures," Energies, MDPI, vol. 11(10), pages 1-18, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:336:y:2024:i:3:d:10.1007_s10479-023-05432-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.