Network characteristics and supply chain resilience under conditions of risk propagation

被引:128
|
作者
Li, Yuhong [1 ]
Zobel, Christopher W. [2 ]
Seref, Onur [2 ]
Chatfield, Dean [1 ]
机构
[1] Old Dominion Univ, Dept Informat Technol & Decis Sci, Norfolk, VA 23529 USA
[2] Virginia Polytech Inst & State Univ, Dept Business Informat Technol, 1007 Pamplin Hall, Blacksburg, VA 24061 USA
关键词
Supply chain resilience; Complex network; Network characteristics; Risk propagation; SCALE DEVELOPMENT; DISRUPTION; INFRASTRUCTURE; CENTRALITY; SYSTEMS; INFORMATION; ROBUSTNESS; FRAMEWORK; IMPACT; FUTURE;
D O I
10.1016/j.ijpe.2019.107529
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Inspired by the fact that a combination of network characteristics can describe a network more fully than the network type is able to, especially since some networks do not belong to any one specific type, this research effort investigates the relationship between network characteristics and supply chain resilience. We begin by demonstrating that the investigation of network characteristics can lead to a better understanding of supply chain resilience. We then identify the key network characteristics that best represent network structure in determining resilience. We show that utilizing a reduced list of characteristics yields performance equal to that when using a complete set of characteristics. Based on the results, we summarize key points that can support interpretation of the impact of network characteristics on resilience. We also conduct a case study to illustrate how our approach can be employed to understand resilience.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Research on Supply Chain Network Resilience: Considering Risk Propagation and Node Type
    Xue, Shuaihao
    Li, Jia
    Yu, Jiaxin
    Li, Minghui
    Shi, Xiaoqiu
    APPLIED SCIENCES-BASEL, 2024, 14 (07):
  • [2] Evaluating supply chain network resilience considering disruption propagation
    Habibi, Farhad
    Chakrabortty, Ripon Kumar
    Abbasi, Alireza
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 183
  • [3] Bayesian network modelling for supply chain risk propagation
    Ojha, Ritesh
    Ghadge, Abhijeet
    Tiwari, Manoj Kumar
    Bititci, Umit S.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (17) : 5795 - 5819
  • [4] Robust Supply Chain Network Design Under Facility Disruption by Consideration of Risk Propagation
    Manupati, V. K.
    Akash, Shukalya
    Illaiah, K.
    Babu, E. Suresh
    Varela, M. L. R.
    INNOVATIONS IN INDUSTRIAL ENGINEERING, 2022, : 97 - 107
  • [5] Risk propagation and resilience in the agribusiness supply chain: a systematic literature review
    Imbiri, Soleman
    Rameezdeen, Raufdeen
    Chileshe, Nicholas
    Statsenko, Larissa
    JOURNAL OF AGRIBUSINESS IN DEVELOPING AND EMERGING ECONOMIES, 2024, 14 (04) : 712 - 732
  • [6] Biomass supply chain network design under uncertainty, risk and resilience: A systematic literature review
    Gital, Yesim
    Bilgen, Bilge
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 193
  • [7] Supply Chain Network Resilience by Considering Disruption Propagation: Topological and Operational Perspectives
    Zhao, Peixin
    Li, Zhuyue
    Han, Xue
    Duan, Xiaoyang
    IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 5305 - 5316
  • [8] Resilience of supply-chain systems under perturbations: A network approach
    Zhou, Weiwei
    Zhang, Qin
    CHAOS, 2022, 32 (09)
  • [9] Uncertainty propagation in a supply chain or supply network
    Rezapour, Shabnam
    Allen, Janet K.
    Mistree, Farrokh
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2015, 73 : 185 - 206
  • [10] Designing a supply chain network under the risk of disruptions
    Department of Industrial Engineering, Iran University of Science and Technology, 16846113114 Tehran, Iran
    不详
    Math. Probl. Eng.,