The Application of Blockchain-Based Life Cycle Assessment on an Industrial Supply Chain

被引:11
|
作者
Lin, Xuda [1 ,2 ]
Li, Xing [3 ]
Kulkarni, Sameer [4 ]
Zhao, Fu [1 ,4 ]
机构
[1] Purdue Univ, Div Environm & Ecol Engn, W Lafayette, IN 47907 USA
[2] Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA
[3] Purdue Univ, Sch Civil Engn, W Lafayette, IN 47907 USA
[4] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
关键词
life cycle assessment; blockchain; supply chain; DECENTRALIZATION; CENTRALIZATION;
D O I
10.3390/su132313332
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Life cycle assessment (LCA) is a widely recognized tool used to evaluate the environmental impacts of a product or process, based on the environmental inventory database and bills of material. Data quality is one of the most significant factors affecting the analysis results. However, currently, most datasets in inventory databases are generic, i.e., they may represent the material and energy flow of a process at a market average, instead of a specific process used by a manufacturer. As a result, stockholders are unable to track their supply chain to find out the actual environmental impact from each supplier and to compare the environmental performance of alternative options. In this paper, we developed a new framework, i.e., blockchain-based LCA (BC-LCA), where blockchain technology is adapted to secure and transmit inventory data from upstream suppliers to downstream manufacturers. With BC-LCA, more specific data can be acquired along the supply chain in a real-time manner. Moreover, the availability, accuracy, privacy, and automatic update of inventory data can be improved. A case study is provided based on an industrial supply chain to demonstrate the utilization of BC-LCA.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] The Economics of Blockchain-Based Supply Chain Traceability in Developing Countries
    Kshetri, Nir
    COMPUTER, 2021, 54 (08) : 98 - 103
  • [42] High-Efficiency Blockchain-Based Supply Chain Traceability
    Wu, Hanqing
    Jiang, Shan
    Cao, Jiannong
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (04) : 3748 - 3758
  • [43] TrustChain: Trusted Blockchain-Based System for Supply Chain Traceability
    Mohammed, Muhannad
    Alzahrani, Muhannad
    Hejjou, Abdulla
    Alharby, Maher
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2025, 50 (02) : 891 - 909
  • [44] Agrichain: A Blockchain-Based Food Supply Chain Management System
    Rambhia, Vidhi
    Mehta, Ruchi
    Shah, Riya
    Mehta, Vruddhi
    Patel, Dhiren
    BLOCKCHAIN, ICBC 2021, 2022, 12991 : 3 - 15
  • [45] TrustedChain: A Blockchain-based Data Sharing Scheme for Supply Chain
    Le, Gejun
    Gu, Qifeng
    Jiang, Qingshan
    Lin, Weiyi
    20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2020), 2020, : 895 - 901
  • [46] Research on the Construction of a Blockchain-Based Industrial Product Full Life Cycle Information Traceability System
    Xiao, Leifeng
    Sun, Wenlei
    Chang, Saike
    Lu, Cheng
    Jiang, Renben
    APPLIED SCIENCES-BASEL, 2024, 14 (11):
  • [47] Supply Chain Application of Blockchain-Based Solutions for Cyber-Physical Systems: Review and Prospects
    Mahjoub, Yassine Idel
    Chargui, Tarik
    Bekrar, Abdelghani
    Trentesaux, Damien
    11TH INTERNATIONAL WORKSHOP ON SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE, SOHOMA 2021, 2022, 1034 : 545 - 558
  • [48] Supply chain transparency through blockchain-based traceability: An overview with demonstration
    Sunny, Justin
    Undralla, Naveen
    Pillai, V. Madhusudanan
    COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 150
  • [49] Blockchain-based smart tracking and tracing platform for drug supply chain
    Liu, Xinlai
    Barenji, Ali Vatankhah
    Li, Zhi
    Montreuil, Benoit
    Huang, George Q.
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 161
  • [50] Blockchain-Based Supply Chain System for Olive Fields Using WSNs
    Ghorbel, Oussama
    Frikha, Tarek
    Hajji, Abir
    Alabdali, Raed
    Ayadi, Rami
    Abbas Elmasry, Mohamed
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022