IDEAS home Printed from https://ideas.repec.org/a/spr/fuzodm/v23y2024i4d10.1007_s10700-024-09435-9.html
   My bibliography  Save this article

Supply chain management based on uncertainty theory: a bibliometric analysis and future prospects

Author

Listed:
  • Lin Chen

    (Wuhan Institute of Technology)

  • Yuanling Wang

    (Wuhan Institute of Technology)

  • Jin Peng

    (Huanggang Normal University)

  • Qinzi Xiao

    (Wuhan Institute of Technology)

Abstract

Uncertainty in the environment poses a significant challenge for supply chain management, and uncertainty theory is a branch of mathematics that focuses on analyzing uncertain phenomena. In this context, an increasing number of scholars have begun to use the uncertainty theory to study uncertain phenomena in the supply chain management, but there is still a lack of systematic literature reviews and research outlooks in this research field. To fill this gap, this paper provides a comprehensive and systematic review of the relevant literature in the Web of Science database from 2015 to May 2024 using bibliometric analysis and content analysis. First, bibliometric analysis is conducted to visualize the current state of research, including publication trends, keywords, authors, and geographical distribution. Then, through content analysis, the selected literature is categorized into seven subfields according to the research questions, including supply chain pricing decision, supply chain network disruption, supply chain network design, supply chain management considering sales efforts, sustainable supply chain management, supply chain contract design, and general supply chain management. The results indicate that the literature on the supply chain management based on the uncertainty theory is not yet mature. The research has begun to shift from single uncertainty to multidimensional uncertainty and from single-objective decision-making to multi-objective decision-making. The research direction has also shifted towards sustainability and resilience design in supply chain networks, gradually incorporating environmental and social benefits into supply chain decision-making. Based on the results of the bibliometric analysis and content analysis, future research directions are identified and potential related research opportunities are proposed, including the impact of consumer behavior, channel interaction, corporate social responsibility, and logistics service strategies on the supply chain management based on the uncertainty theory.

Suggested Citation

  • Lin Chen & Yuanling Wang & Jin Peng & Qinzi Xiao, 2024. "Supply chain management based on uncertainty theory: a bibliometric analysis and future prospects," Fuzzy Optimization and Decision Making, Springer, vol. 23(4), pages 599-636, December.
    • Handle: RePEc:spr:fuzodm:v:23:y:2024:i:4:d:10.1007_s10700-024-09435-9
    DOI: 10.1007/s10700-024-09435-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10700-024-09435-9
    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/s10700-024-09435-9?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. Hu Huang & Hua Ke, 2017. "Pricing decision problem for substitutable products based on uncertainty theory," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 503-514, March.
    2. Sen Yan & Xiaoyu Ji, 2020. "Supply chain network design under the risk of uncertain disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1724-1740, March.
    3. Yang Liu & Baoding Liu, 2022. "Residual analysis and parameter estimation of uncertain differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 513-530, December.
    4. Shen, Jiayu & Shi, Jianxin & Gao, Lingceng & Zhang, Qiang & Zhu, Kai, 2023. "Uncertain green product supply chain with government intervention," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 136-156.
    5. Tingqing Ye & Xiangfeng Yang, 2021. "Analysis and prediction of confirmed COVID-19 cases in China with uncertain time series," Fuzzy Optimization and Decision Making, Springer, vol. 20(2), pages 209-228, June.
    6. Hua Ke & Yong Wu & Hu Huang, 2018. "Competitive Pricing and Remanufacturing Problem in an Uncertain Closed-Loop Supply Chain with Risk-Sensitive Retailers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(01), pages 1-21, February.
    7. Qinyu Song & Yaodong Ni & Dan A. Ralescu, 2021. "The impact of lead-time uncertainty in product configuration," International Journal of Production Research, Taylor & Francis Journals, vol. 59(3), pages 959-981, February.
    8. Cai, Jianhu & Zhong, Man & Shang, Jennifer & Huang, Weilai, 2017. "Coordinating VMI supply chain under yield uncertainty: Option contract, subsidy contract, and replenishment tactic," International Journal of Production Economics, Elsevier, vol. 185(C), pages 196-210.
    9. Zhe Liu & Yanbin Li, 2024. "Pricing and valuation of carbon swap in uncertain finance market," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 319-336, September.
    10. Chen, Junlin & Jiang, Zewu & Zhao, Xiaobo & Zhu, Wanshan & Xie, Jinxing, 2024. "Supply chain contracting with asymmetric cost information and behavioral preferences: Theory and experiment," Omega, Elsevier, vol. 122(C).
    11. Xiangfeng Yang & Hua Ke, 2023. "Uncertain interest rate model for Shanghai interbank offered rate and pricing of American swaption," Fuzzy Optimization and Decision Making, Springer, vol. 22(3), pages 447-462, September.
    12. Ahmad Hosseini & Mir Saman Pishvaee, 2022. "Capacity reliability under uncertainty in transportation networks: an optimization framework and stability assessment methodology," Fuzzy Optimization and Decision Making, Springer, vol. 21(3), pages 479-512, September.
    13. Manoj Kumar Tiwari & Bopaya Bidanda & Joseph Geunes & Kiran Fernandes & Alexandre Dolgui, 2024. "Supply chain digitisation and management," International Journal of Production Research, Taylor & Francis Journals, vol. 62(8), pages 2918-2926, April.
    14. Shen, Jiayu, 2020. "An uncertain sustainable supply chain network," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    15. Lin Chen & Jin Peng & Zhibing Liu & Ruiqing Zhao, 2017. "Pricing and effort decisions for a supply chain with uncertain information," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 264-284, January.
    16. Behl, Abhishek & Sampat, Brinda & Gaur, Jighyasu & Pereira, Vijay & Laker, Benjamin & Shankar, Amit & Shi, Yangyan & Roohanifar, Mohammad, 2024. "Can gamification help green supply chain management firms achieve sustainable results in servitized ecosystem? An empirical investigation," Technovation, Elsevier, vol. 129(C).
    17. Xu, Song & Govindan, Kannan & Wang, Wanru & Yang, Wenting, 2024. "Supply chain management under cap-and-trade regulation: A literature review and research opportunities," International Journal of Production Economics, Elsevier, vol. 271(C).
    18. Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
    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. Lifen Jia & Linya Zhang & Wei Chen, 2024. "China’s carbon emission allowance prices forecasting and option designing in uncertain environment," Fuzzy Optimization and Decision Making, Springer, vol. 23(4), pages 539-560, December.
    2. Jinran Chen, 2024. "Prediction of global trade network evolution with uncertain multi-step time series forecasting method," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 387-414, September.
    3. Lin Chen & Ting Dong & Jin Peng & Dan Ralescu, 2023. "Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review," Mathematics, MDPI, vol. 11(11), pages 1-45, May.
    4. Tingqing Ye & Baoding Liu, 2023. "Uncertain hypothesis test for uncertain differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 22(2), pages 195-211, June.
    5. Shen, Jiayu, 2020. "An uncertain sustainable supply chain network," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    6. Yang Liu & Zhongfeng Qin & Xiang Li, 2024. "Are the queueing systems in practice random or uncertain? Evidence from online car-hailing data in Beijing," Fuzzy Optimization and Decision Making, Springer, vol. 23(4), pages 497-511, December.
    7. Jian Zhou & Yujiao Jiang & Athanasios A. Pantelous & Weiwen Dai, 2023. "A systematic review of uncertainty theory with the use of scientometrical method," Fuzzy Optimization and Decision Making, Springer, vol. 22(3), pages 463-518, September.
    8. Haoxuan Li & Xiangfeng Yang & Yaodong Ni, 2024. "Pricing of shout option in uncertain financial market," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 449-467, September.
    9. Li, Guo & Wu, Huamin & Sethi, Suresh P. & Zhang, Xiang, 2021. "Contracting green product supply chains considering marketing efforts in the circular economy era," International Journal of Production Economics, Elsevier, vol. 234(C).
    10. Xiaoxia Huang & Xue Meng & Xiaozhu Xu, 2024. "Portfolio selection with second order uncertain dominance constraint," Fuzzy Optimization and Decision Making, Springer, vol. 23(4), pages 561-575, December.
    11. Juan J. Font & Sergio Macario & Manuel Sanchis, 2023. "Endograph Metric and a Version of the Arzelà–Ascoli Theorem for Fuzzy Sets," Mathematics, MDPI, vol. 11(2), pages 1-8, January.
    12. Zhe Liu & Yanbin Li, 2024. "Pricing and valuation of carbon swap in uncertain finance market," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 319-336, September.
    13. Shen, Jiayu & Shi, Jianxin & Gao, Lingceng & Zhang, Qiang & Zhu, Kai, 2023. "Uncertain green product supply chain with government intervention," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 136-156.
    14. Tian, Yi & Ma, Junhai & Xie, Lei & Koivumäki, Timo & Seppänen, Veikko, 2020. "Coordination and control of multi-channel supply chain driven by consumers’ channel preference and sales effort," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    15. Jia Liu & Cuixia Li, 2023. "Dynamic Game Analysis on Cooperative Advertising Strategy in a Manufacturer-Led Supply Chain with Risk Aversion," Mathematics, MDPI, vol. 11(3), pages 1-24, January.
    16. Jing Li & Yulin Zhang, 2021. "More market awareness, more profit? Competitive environments, business expansions, and two‐sided markets," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 249-267, March.
    17. Shuiwang Zhang & Qianlan Ding & Jingcheng Ding, 2023. "Return Strategy of E-Commerce Platform Based on Green and Sustainable Development," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    18. Yan, Nina & Zhang, Yaping & Xu, Xun & Gao, Yongling, 2021. "Online finance with dual channels and bidirectional free-riding effect," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. Tao, Liangyan & Liu, Sifeng & Xie, Naiming & Javed, Saad Ahmed, 2021. "Optimal position of supply chain delivery window with risk-averse suppliers: A CVaR optimization approach," International Journal of Production Economics, Elsevier, vol. 232(C).
    20. Cai, Jianhu & Hu, Xiaoqing & Jiang, Feiying & Zhou, Qing & Zhang, Xiaoyang & Xuan, Liyuan, 2019. "Optimal input quantity decisions considering commitment order contracts under yield uncertainty," International Journal of Production Economics, Elsevier, vol. 216(C), pages 398-412.

    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:fuzodm:v:23:y:2024:i:4:d:10.1007_s10700-024-09435-9. 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.