IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v15y2022i3d10.1007_s12063-022-00254-y.html
   My bibliography  Save this article

RETRACTED ARTICLE: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model

Author

Listed:
  • Jinhao Xie

    (Liaoning University of Technology)

  • Chao Chen

    (Liaoning University of Technology)

Abstract

Under the development trend of economic globalization, the financial difficulties of the supply chain may cause a serious crisis to the enterprises in the whole supply chain. It is necessary to alleviate the transformation pressure faced by international trading enterprises (ITE), to enhance the core competitiveness of ITE. This paper takes the SCLM (Supply Chain and Logistic Management) of ITE as the research object. Based on the analysis of the existing SCLM experience of ITE and the Internet of Things (IoT) technology, this paper puts forward the economic analysis model of the IoT-based SCLM. Specific data of some ITE prove the effectiveness of the proposed model. Further optimization is carried out through process analysis. The results show that the proposed SCLM economic analysis model based on IoT can effectively maximize the interests of enterprises and shorten the supply chain process by adding information groups. The introduced IoT-based method reduces the Average Queue Time (AQT) of vehicles by nearly 7 times and the Average Waiting Time (AWT) by nearly 4 times. After the IoT technology is applied to the SCLM of ITE, this paper significantly improves the cooperation efficiency of various departments, optimizes the relationship between customers and suppliers, and improves the core competitiveness of the enterprise. Therefore, this paper has important reference value for promoting the development of the small and micro machinery industry in China.

Suggested Citation

  • Jinhao Xie & Chao Chen, 2022. "RETRACTED ARTICLE: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model," Operations Management Research, Springer, vol. 15(3), pages 711-724, December.
    • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00254-y
    DOI: 10.1007/s12063-022-00254-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-022-00254-y
    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/s12063-022-00254-y?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. Yu, Hongxin & Zhao, Yuanjun & Liu, Zheng & Liu, Wei & Zhang, Shuai & Wang, Fatao & Shi, Lihua, 2021. "Research on the financing income of supply chains based on an E-commerce platform," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Wu, Bao & Monfort, Abel & Jin, Chenfei & Shen, Xinyan, 2022. "Substantial response or impression management? Compliance strategies for sustainable development responsibility in family firms," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Xu, Xiaofeng & Wang, Chenglong & Zhou, Peng, 2021. "GVRP considered oil-gas recovery in refined oil distribution: From an environmental perspective," International Journal of Production Economics, Elsevier, vol. 235(C).
    4. Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
    5. Rafał Haffer, 2018. "Supply Chain Performance Measurement System Of Logistics Service Providers. A Conceptual Framework And Research Agenda," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 85-108.
    6. Nurzhan K. Bulatov & Assylbek E. Toilybayev & Nurgul Z. Suleyeva & Dauren K. Sarzhanov, 2021. "RETRACTED ARTICLE: Development of the model (algorithm) of the efficient transportation logistics with the purpose of collection and transportation of the solid municipal waste to the places of their ," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2015-2037, February.
    7. Rui Yang & Guoming Du & Ziwei Duan & Mengjin Du & Xin Miao & Yanhong Tang, 2020. "Knowledge System Analysis on Emergency Management of Public Health Emergencies," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    8. Chang Liu & Yongfu Feng & Dongtao Lin & Liang Wu & Min Guo, 2020. "Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5113-5131, September.
    9. Lv, Shaojie & Song, Feifei, 2022. "Particle swarm intelligence and the evolution of cooperation in the spatial public goods game with punishment," Applied Mathematics and Computation, Elsevier, vol. 412(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alireza Goli & Amir-Mohammad Golmohammadi & José-Luis Verdegay, 2022. "RETRACTED ARTICLE: Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm," Operations Management Research, Springer, vol. 15(3), pages 891-912, December.

    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. Hai, Tao & Hussein Kadir, Dler & Ghanbari, Afshin, 2023. "Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive statistical and operating analyses," Energy, Elsevier, vol. 276(C).
    2. Ziyi Chen & Kaiyan Dai & Xing Jin & Liqin Hu & Yongheng Wang, 2023. "Aspiration-Based Learning in k -Hop Best-Shot Binary Networked Public Goods Games," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    3. Weiming Liu & Yating Qiu & Lijiang Jia & Hang Zhou, 2022. "Carbon Emissions Trading and Green Technology Innovation—A Quasi-natural Experiment Based on a Carbon Trading Market Pilot," IJERPH, MDPI, vol. 19(24), pages 1-13, December.
    4. Tang, Linjia & Guo, Yingying & Zha, Jianfeng & Zheng, Weiwei, 2024. "Acquiescence or Redemption: CEO’s early-life experience of environmental pollution and corporate green innovation," Journal of Business Research, Elsevier, vol. 173(C).
    5. Guo, Yating & Rosland, Anitha & Ishak, Suryati & Muhammad Senan, Mohammad Khair Afham, 2023. "Public spending and natural resources development: A way toward green economic growth in China," Resources Policy, Elsevier, vol. 86(PB).
    6. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2024. "Supporting punishment via taxation in a structured population," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    7. Xiaoxue Liu & Fuzhen Cao & Shuangshuang Fan, 2022. "Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    8. Fernando Olivares-Delgado & Patricia P. Iglesias-Sánchez & María Teresa Benlloch-Osuna & Carlos de las Heras-Pedrosa & Carmen Jambrino-Maldonado, 2020. "Resilience and Anti-Stress during COVID-19 Isolation in Spain: An Analysis through Audiovisual Spots," IJERPH, MDPI, vol. 17(23), pages 1-23, November.
    9. Sajad Koochakinia & Amir Ebrahimi-Moghadam & Mahdi Deymi-Dashtebayaz, 2022. "Techno-Environmental Analyses and Optimization of a Utility Boiler Based on Real Data," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    10. Reyes-Menendez, Ana & Clemente-Mediavilla, Jorge & Villagra, Nuria, 2023. "Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. Rahmad Syah & Afshin Davarpanah & Marischa Elveny & Amir Ghasemi & Dadan Ramdan, 2021. "The Economic Evaluation of Methanol and Propylene Production from Natural Gas at Petrochemical Industries in Iran," Sustainability, MDPI, vol. 13(17), pages 1-23, September.
    13. Tian, Yue & Gao, Shun & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2024. "Particle swarm intelligence promotes cooperation by adapting interaction radii in co-evolutionary games," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    14. Can Zhang & Tengfei Liu & Jixia Li & Mengzhi Xu & Xu Li & Huachun Wang, 2023. "Economic Growth Target, Government Expenditure Behavior, and Cities’ Ecological Efficiency—Evidence from 284 Cities in China," Land, MDPI, vol. 12(1), pages 1-30, January.
    15. Shereen Aly Hussien Aly Abdou, 2023. "Building corporate image through social media: role of impression management," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(1), pages 113-131, September.
    16. Yijing Chu & Yingying Wang & Zucheng Zhang & Shengli Dai, 2022. "Decoupling of Economic Growth and Industrial Water Use in Hubei Province: From an Ecological–Economic Interaction Perspective," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    17. Razzaq, Asif & Ajaz, Tahseen & Li, Jing Claire & Irfan, Muhammad & Suksatan, Wanich, 2021. "Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economi," Resources Policy, Elsevier, vol. 74(C).
    18. Xuemeng Zhang & Chao Liu & Yuexi Chen & Guanghong Zheng & Yinguang Chen, 2022. "Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11471-11513, October.
    19. Xin Cao & Qin Luo & Peng Wu, 2022. "Filter-GAN: Imbalanced Malicious Traffic Classification Based on Generative Adversarial Networks with Filter," Mathematics, MDPI, vol. 10(19), pages 1-17, September.
    20. Wang, Xianjia & Yang, Zhipeng & Liu, Yanli & Chen, Guici, 2023. "A reinforcement learning-based strategy updating model for the cooperative evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).

    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:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00254-y. 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.