Risk Assessment on Green Supply Chains in Manufacturing

被引:1
|
作者
Wang, Weibin [1 ,2 ]
Ji, Jonah [3 ]
Liu, Caihong [1 ]
Wei, June [4 ,5 ]
机构
[1] Jiaxing Univ, Jiaxing, Peoples R China
[2] Zhejiang Univ Technol, Hangzhou, Peoples R China
[3] Univ Florida, Gainesville, FL USA
[4] Univ West Florida, Pensacola, FL 32514 USA
[5] Univ West Florida, Coll Arts Social Sci & Humanities, Dept Business Adm, Pensacola, FL 32514 USA
关键词
Green supply chain; fuzzy matter element; risk evaluation; back propagation neural network; MANAGEMENT; IMPLEMENTATION; BARRIERS;
D O I
10.1080/08874417.2024.2308210
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A green manufacturing supply chain can improve ecological environments and resource utilization in enterprises. The objective of this paper is to assess green supply chain (GSC) risks in manufacturing to help enterprises increase value. Specifically, based on theoretical analysis and literature review, the risk assessment model of green SC in manufacturing is put forward through questionnaire survey data and Principal Component Analysis. Furthermore, to improve the effectiveness of the risk assessment model obtained from Principal Component Analysis, principal component analysis-based Fuzzy Mature-Element (FME) method is used to form the risk assessment model for green SC in manufacturing. Finally, the FME model on manufacturing green SC risk assessment is tested through the simulation of BP neural network. Some findings present that the proposed risk evaluation system of manufacturing green SC is appropriate and the FME based comprehensive evaluation method is reasonable.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Exploring combined effects of dominance structure, green sensitivity, and green preference on manufacturing closed-loop supply chains
    Long, Qingqi
    Tao, Xiaoying
    Chen, Yunting
    Chen, Yingni
    Xu, Le
    Zhang, Shuzhu
    Zhang, Jie
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2022, 251
  • [42] An integrated modeling method for assessment of quality systems applied to aerospace manufacturing supply chains
    Harun, Khir
    Cheng, Kai
    JOURNAL OF INTELLIGENT MANUFACTURING, 2012, 23 (04) : 1365 - 1378
  • [43] An integrated modeling method for assessment of quality systems applied to aerospace manufacturing supply chains
    Khir Harun
    Kai Cheng
    Journal of Intelligent Manufacturing, 2012, 23 : 1365 - 1378
  • [44] A systemic approach for disruption risk assessment in oil and gas supply chains
    Alfaqiri, Abdulrahman
    Hossain, Niamat Ullah Ibne
    Jaradat, Raed
    Abutabenjeh, Sawsan
    Keating, Charles B.
    Khasawneh, Mahmoud T.
    Pinto, C. Ariel
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES, 2019, 15 (03) : 230 - 259
  • [45] Risk assessment and control of agricultural supply chains under Internet of Things
    Yan, Bo
    Wang, Xinni
    Shi, Ping
    AGREKON, 2017, 56 (01) : 1 - 12
  • [46] Operational Risk Assessment For Blockchain Solutions in Supply Chains: A Conceptual Framework
    Hanczar, Pawel
    Wawrzyniak, Dariusz
    EDUCATION EXCELLENCE AND INNOVATION MANAGEMENT: A 2025 VISION TO SUSTAIN ECONOMIC DEVELOPMENT DURING GLOBAL CHALLENGES, 2020, : 2654 - 2664
  • [47] MEASURING THE COMPLEXITY OF ADDITIVE MANUFACTURING SUPPLY CHAINS
    Mashhadi, Ardeshir Raihanian
    Behdad, Sara
    PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 2, 2017,
  • [48] Scheduling for Modern Manufacturing, Logistics, and Supply Chains
    Finke, Gerd
    Strusevich, Vitaly A.
    Werner, Frank
    COMPUTERS & OPERATIONS RESEARCH, 2009, 36 (02) : 299 - 300
  • [49] Additive manufacturing and supply chains - a systematic review
    Kunovjanek, Maximilian
    Knofius, Nils
    Reiner, Gerald
    PRODUCTION PLANNING & CONTROL, 2022, 33 (13) : 1231 - 1251
  • [50] Special Issue on Collaborative Manufacturing and Supply Chains
    Shen, Weiming
    Li, Yingguang
    Li, Xiaoping
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2012, 25 (10) : 853 - 854