Big Data Logistics Service Supply Chain Innovation Model Based on Artificial Intelligence and Blockchain

被引:1
|
作者
Zhang, Xin [1 ]
Shi, Xiaomin [1 ]
Pan, Wenan [2 ]
机构
[1] Jiaxing Univ, Business Coll, Jiaxing 314001, Zhejiang, Peoples R China
[2] Zhejiang Gongshang Univ, Sch Business Adm, Hangzhou 310035, Zhejiang, Peoples R China
关键词
Big data - Supply chains;
D O I
10.1155/2022/4794190
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Blockchain technology is widely used in various fields according to its programmable advantages. Such technology has several typical characteristics, such as openness, automation, independence, security, sharing, and modularity. The logistics system is greatly beneficial from such characteristics. Therefore, blockchain technology can provide core technical support for the construction of logistics supply chain system. In this paper, we focus on the current demands of "blockchain + logistics" business system and reduce half risks in the supply chain through decentralization and detrusting of blockchain technology. Finally, experimental results show that it has a certain practical significance for the adjustment of the strategic layout and sound development of supply chain logistics.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] The Innovation Ecological Model of Chinese Automotive Industry Based on Artificial Intelligence and Big Data Technology
    Lv, Xiaojing
    Zhang, Gui
    Liu, Jiqing
    Li, Jiayu
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [22] Research on Innovation of E-commerce Logistics Service Based on Big Data
    Bi, Xiaoqing
    Liu, Pu
    2018 INTERNATIONAL WORKSHOP ON ADVANCES IN SOCIAL SCIENCES (IWASS 2018), 2019, : 1221 - 1226
  • [23] Profit distribution model of two echelon logistics service supply chain based on logistics service combination
    Liu, Weihua
    Ji, Jianhua
    Zhang, Tao
    Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2008, 32 (04): : 589 - 592
  • [24] Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review
    Zamani, Efpraxia D.
    Smyth, Conn
    Gupta, Samrat
    Dennehy, Denis
    ANNALS OF OPERATIONS RESEARCH, 2023, 327 (02) : 605 - 632
  • [25] Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review
    Efpraxia D. Zamani
    Conn Smyth
    Samrat Gupta
    Denis Dennehy
    Annals of Operations Research, 2023, 327 : 605 - 632
  • [26] Strategic Supply Chain Risk Management Artificial Intelligence and Big Data to Support Strategic Supply Chain Risk Management
    Kramer K.J.
    Mousavi D.
    Schmidt M.
    ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2022, 117 (05): : 349 - 353
  • [27] Business Innovation based on artificial intelligence and Blockchain technology
    Wang, Zeyu
    Li, Mingyu
    Lu, Jia
    Cheng, Xin
    INFORMATION PROCESSING & MANAGEMENT, 2022, 59 (01)
  • [28] Big data analytics and application for logistics and supply chain management
    Govindan, Kannan
    Cheng, T. C. E.
    Mishra, Nishikant
    Shukla, Nagesh
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 : 343 - 349
  • [29] Big data analytics in supply chain and logistics: an empirical approach
    Queiroz, Maciel Manoel
    Telles, Renato
    INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT, 2018, 29 (02) : 767 - 783
  • [30] Big Data in Logistics and Supply Chain Management - A rethinking step
    Ghosh, D.
    2015 INTERNATIONAL SYMPOSIUM ON ADVANCED COMPUTING AND COMMUNICATION (ISACC), 2015, : 168 - 173