{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T09:24:02Z","timestamp":1778750642422,"version":"3.51.4"},"reference-count":72,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72271200"],"award-info":[{"award-number":["72271200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72231008"],"award-info":[{"award-number":["72231008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers &amp; Industrial Engineering"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.cie.2026.112038","type":"journal-article","created":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T06:32:22Z","timestamp":1776493942000},"page":"112038","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Robustness analysis of supply networks considering failure suppression behavior in cascading failures"],"prefix":"10.1016","volume":"217","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0963-3692","authenticated-orcid":false,"given":"Yongzheng","family":"Tian","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9022-9954","authenticated-orcid":false,"given":"Yongjun","family":"Du","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7380-8110","authenticated-orcid":false,"given":"Zhiqiang","family":"Cai","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"15","key":"10.1016\/j.cie.2026.112038_b0005","doi-asserted-by":"crossref","first-page":"5104","DOI":"10.1080\/00207543.2017.1419582","article-title":"Assessing supply chain robustness to links failure","volume":"56","author":"Adenso-D\u00edaz","year":"2018","journal-title":"International Journal of Production Research"},{"issue":"2","key":"10.1016\/j.cie.2026.112038_b0010","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1038\/s42254-023-00676-y","article-title":"Robustness and resilience of complex networks","volume":"6","author":"Artime","year":"2024","journal-title":"Nature Reviews Physics"},{"issue":"5439","key":"10.1016\/j.cie.2026.112038_b0015","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","article-title":"Emergence of scaling in random networks","volume":"286","author":"Barab\u00e1si","year":"1999","journal-title":"Science"},{"issue":"6","key":"10.1016\/j.cie.2026.112038_b0020","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1080\/00207543.2019.1687954","article-title":"Methods for mitigating disruptions in complex supply chain structures: A systematic literature review","volume":"58","author":"Bier","year":"2020","journal-title":"International Journal of Production Research"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0025","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1080\/00207543.2020.1831096","article-title":"The relationship between nested patterns and the ripple effect in complex supply networks","volume":"59","author":"Chauhan","year":"2021","journal-title":"International Journal of Production Research"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0030","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1142\/S179393052300003X","article-title":"Taiwan Semiconductor Manufacturing Company: A key chip in the global political economy","volume":"15","author":"Chiang","year":"2023","journal-title":"East Asian Policy"},{"issue":"4","key":"10.1016\/j.cie.2026.112038_b0035","first-page":"682","article-title":"Systemic risks in supply chains: A need for system-level governance","volume":"28","author":"Colon","year":"2023","journal-title":"Supply Chain Management-An International Journal"},{"issue":"19","key":"10.1016\/j.cie.2026.112038_b0040","doi-asserted-by":"crossref","DOI":"10.7498\/aps.73.20240702","article-title":"Supply chain research based on complex network theory","volume":"73","author":"Cui","year":"2024","journal-title":"Acta Physica Sinica"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0045","doi-asserted-by":"crossref","first-page":"39","DOI":"10.3390\/pr9010039","article-title":"Building robust closed-loop supply networks against malicious attacks","volume":"9","author":"Deng","year":"2021","journal-title":"Processes"},{"key":"10.1016\/j.cie.2026.112038_b0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2024.115539","article-title":"Quantifying the reciprocal impacts of capital and logistics networks in the supply chains: A cyber\u2013physical system approach","volume":"188","author":"Duan","year":"2024","journal-title":"Chaos, Solitons & Fractals"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0055","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1080\/00207543.2019.1582820","article-title":"Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience","volume":"59","author":"Dubey","year":"2021","journal-title":"International Journal of Production Research"},{"issue":"11","key":"10.1016\/j.cie.2026.112038_b0060","doi-asserted-by":"crossref","first-page":"3488","DOI":"10.1080\/00207543.2020.1712491","article-title":"Supply chain collaboration in the presence of disruptions: A literature review","volume":"58","author":"Duong","year":"2020","journal-title":"International Journal of Production Research"},{"issue":"3","key":"10.1016\/j.cie.2026.112038_b0065","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/0378-8733(78)90021-7","article-title":"Centrality in social networks","volume":"1","author":"Freeman","year":"1979","journal-title":"Social Networks"},{"issue":"6","key":"10.1016\/j.cie.2026.112038_b0070","first-page":"5915","article-title":"Graph vulnerability and robustness: A survey","volume":"35","author":"Freitas","year":"2023","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.cie.2026.112038_b0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2023.129478","article-title":"Cascading failure resilience analysis and recovery of automotive manufacturing supply chain networks considering enterprise roles","volume":"634","author":"Fu","year":"2024","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0080","doi-asserted-by":"crossref","DOI":"10.1007\/s41109-020-00310-1","article-title":"Fragility of a multilayer network of intranational supply chains","volume":"5","author":"Gomez","year":"2020","journal-title":"Applied Network Science"},{"issue":"8","key":"10.1016\/j.cie.2026.112038_b0085","first-page":"3440","article-title":"Decoding Amazon\u2019s innovation and partnerships in the Vendor Flex: Meaningful alliances or imbalanced governance dynamics?","volume":"28","author":"Gustavo","year":"2024","journal-title":"European Journal of Innovation Management"},{"key":"10.1016\/j.cie.2026.112038_b0090","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.65.056109","article-title":"Attack vulnerability of complex networks","volume":"65","author":"Holme","year":"2002","journal-title":"Physical Review E"},{"key":"10.1016\/j.cie.2026.112038_b0095","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ijpe.2019.03.018","article-title":"Resilient supplier selection and optimal order allocation under disruption risks","volume":"213","author":"Hosseini","year":"2019","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.cie.2026.112038_b0100","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.ijpe.2016.07.007","article-title":"A Bayesian network model for resilience-based supplier selection","volume":"180","author":"Hosseini","year":"2016","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.cie.2026.112038_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110416","article-title":"Resilience evaluation and enhancing for China\u2019s electric vehicle supply chain in the presence of attacks: A complex network analysis approach","volume":"195","author":"Huang","year":"2024","journal-title":"Computers & Industrial Engineering"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0110","doi-asserted-by":"crossref","DOI":"10.1063\/5.0249078","article-title":"Identification of critical nodes in supply chain networks","volume":"15","author":"Hua","year":"2025","journal-title":"AIP Advances"},{"issue":"3","key":"10.1016\/j.cie.2026.112038_b0115","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1080\/00207543.2018.1488086","article-title":"The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics","volume":"57","author":"Ivanov","year":"2019","journal-title":"International Journal of Production Research"},{"issue":"4","key":"10.1016\/j.cie.2026.112038_b0120","first-page":"246","article-title":"Supply chain resilience in the global financial crisis: An empirical study","volume":"16","author":"J\u00fcttner","year":"2011","journal-title":"Supply Chain Management-An International Journal"},{"key":"10.1016\/j.cie.2026.112038_b0125","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.jom.2014.10.006","article-title":"Supply network disruption and resilience: A network structural perspective","volume":"33\u201334","author":"Kim","year":"2015","journal-title":"Journal of Operations Management"},{"issue":"24","key":"10.1016\/j.cie.2026.112038_b0130","doi-asserted-by":"crossref","first-page":"8468","DOI":"10.1080\/00207543.2022.2152892","article-title":"Ten-tier and multi-scale supply chain network analysis of medical equipment: Random failure & intelligent attack analysis","volume":"61","author":"Lavassani","year":"2023","journal-title":"International Journal of Production Research"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0135","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1080\/00207543.2019.1698782","article-title":"Modelling of risk transmission and control strategy in the transnational supply chain","volume":"59","author":"Lei","year":"2021","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2026.112038_b0140","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.ijpe.2015.02.021","article-title":"Joint supply chain risk management: An agency and collaboration perspective","volume":"164","author":"Li","year":"2015","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.cie.2026.112038_b0145","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2020.107693","article-title":"Exploring supply chain network resilience in the presence of the ripple effect","volume":"228","author":"Li","year":"2020","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.cie.2026.112038_b0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2019.107529","article-title":"Network characteristics and supply chain resilience under conditions of risk propagation","volume":"223","author":"Li","year":"2020","journal-title":"International Journal of Production Economics"},{"issue":"10","key":"10.1016\/j.cie.2026.112038_b0155","first-page":"351","article-title":"Study on co-evolution of underload failure and overload cascading failure in multi-layer supply chain network","volume":"48","author":"Li","year":"2021","journal-title":"Computer Science"},{"key":"10.1016\/j.cie.2026.112038_b0160","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.omega.2017.01.001","article-title":"Building up resilience in a pharmaceutical supply chain through inventory, dual sourcing and agility capacity","volume":"73","author":"L\u00fccker","year":"2017","journal-title":"Omega"},{"key":"10.1016\/j.cie.2026.112038_b0165","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2016.06.007","article-title":"Vital nodes identification in complex networks","volume":"650","author":"L\u00fc","year":"2016","journal-title":"Physics Reports"},{"issue":"7","key":"10.1016\/j.cie.2026.112038_b0170","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1111\/risa.17699","article-title":"Evolution of vaccination strategies for infectious diseases considering immunity waning on complex networks","volume":"45","author":"Meng","year":"2025","journal-title":"Risk Analysis"},{"key":"10.1016\/j.cie.2026.112038_b0175","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.cirpj.2021.01.013","article-title":"Mitigation of the ripple effect in supply chains: Balancing the aspects of robustness, complexity and efficiency","volume":"32","author":"Monostori","year":"2021","journal-title":"CIRP Journal of Manufacturing Science and Technology"},{"issue":"6","key":"10.1016\/j.cie.2026.112038_b0180","doi-asserted-by":"crossref","first-page":"769","DOI":"10.3390\/e23060769","article-title":"Robustness of cyber-physical supply networks in cascading failures","volume":"23","author":"Mu","year":"2021","journal-title":"Entropy"},{"issue":"5","key":"10.1016\/j.cie.2026.112038_b0185","doi-asserted-by":"crossref","first-page":"1391","DOI":"10.1080\/00207543.2010.518744","article-title":"Supply network topology and robustness against disruptions - An investigation using multi-agent model","volume":"49","author":"Nair","year":"2011","journal-title":"International Journal of Production Research"},{"issue":"50","key":"10.1016\/j.cie.2026.112038_b0190","doi-asserted-by":"crossref","first-page":"22135","DOI":"10.1021\/acs.est.4c10523","article-title":"Systematic risks of the global Lithium supply chain network: From static topological structures to cascading failure dynamics","volume":"58","author":"Ouyang","year":"2024","journal-title":"Environmental Science & Technology"},{"issue":"15","key":"10.1016\/j.cie.2026.112038_b0195","doi-asserted-by":"crossref","first-page":"4693","DOI":"10.1080\/00207543.2021.1934745","article-title":"An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network*","volume":"60","author":"Park","year":"2022","journal-title":"International Journal of Production Research"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0200","doi-asserted-by":"crossref","DOI":"10.1155\/2018\/3924361","article-title":"Topological structure of manufacturing industry supply chain networks","volume":"2018","author":"Perera","year":"2018","journal-title":"Complexity"},{"issue":"6","key":"10.1016\/j.cie.2026.112038_b0205","doi-asserted-by":"crossref","first-page":"8807","DOI":"10.1109\/TII.2024.3372024","article-title":"Dynamical analysis of power system cascading failures caused by cyber attacks","volume":"20","author":"Rajkumar","year":"2024","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.cie.2026.112038_b0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2024.109419","article-title":"Resilience strategies in an intertwined supply network: Mitigating the vulnerability under disruption ripple effects","volume":"278","author":"Ren","year":"2024","journal-title":"International Journal of Production Economics"},{"issue":"1\u20132","key":"10.1016\/j.cie.2026.112038_b0215","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1080\/00207543.2017.1355123","article-title":"Supply chain disruption propagation: A systemic risk and normal accident theory perspective","volume":"56","author":"Scheibe","year":"2018","journal-title":"International Journal of Production Research"},{"issue":"4","key":"10.1016\/j.cie.2026.112038_b0220","first-page":"471","article-title":"The role of collaboration in supply chain resilience","volume":"20","author":"Scholten","year":"2015","journal-title":"Supply Chain Management-An International Journal"},{"issue":"2","key":"10.1016\/j.cie.2026.112038_b0225","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.jretai.2015.09.003","article-title":"Competitive effects of Wal-Mart supercenter entry: Moderating roles of category and brand characteristics","volume":"92","author":"Seenivasan","year":"2016","journal-title":"Journal of Retailing"},{"issue":"5","key":"10.1016\/j.cie.2026.112038_b0230","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1080\/13675567.2020.1763935","article-title":"An integrative approach to supply chain disruption risk and resilience management: A literature review","volume":"24","author":"Shekarian","year":"2021","journal-title":"International Journal of Logistics Research and Applications"},{"key":"10.1016\/j.cie.2026.112038_b0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.resourpol.2022.102555","article-title":"The multiplex network structure of global cobalt industry chain","volume":"76","author":"Shi","year":"2022","journal-title":"Resources Policy"},{"key":"10.1016\/j.cie.2026.112038_b0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107431","article-title":"Research on the robustness of interdependent supply networks with tunable parameters","volume":"158","author":"Shi","year":"2021","journal-title":"Computers & Industrial Engineering"},{"issue":"21","key":"10.1016\/j.cie.2026.112038_b0245","doi-asserted-by":"crossref","first-page":"6670","DOI":"10.1080\/00207543.2019.1685697","article-title":"Research on supply network resilience considering random and targeted disruptions simultaneously","volume":"58","author":"Shi","year":"2019","journal-title":"International Journal of Production Research"},{"issue":"18","key":"10.1016\/j.cie.2026.112038_b0250","doi-asserted-by":"crossref","first-page":"5553","DOI":"10.1080\/00207543.2021.1966117","article-title":"Research on supply network resilience considering the ripple effect with collaboration","volume":"60","author":"Shi","year":"2022","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2026.112038_b0255","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.106457","article-title":"Construction of a multi-echelon supply chain complex network evolution model and robustness analysis of cascading failure","volume":"144","author":"Sun","year":"2020","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.cie.2026.112038_b0260","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.physa.2015.09.082","article-title":"Complex interdependent supply chain networks: Cascading failure and robustness","volume":"443","author":"Tang","year":"2016","journal-title":"Physica A: Statistical Mechanics and Its Applications"},{"issue":"5","key":"10.1016\/j.cie.2026.112038_b0265","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MIS.2004.49","article-title":"Survivability of multiagent-based supply networks: A topological perspective","volume":"19","author":"Thadakamaila","year":"2004","journal-title":"IEEE Intelligent Systems"},{"key":"10.1016\/j.cie.2026.112038_b0270","doi-asserted-by":"crossref","first-page":"91265","DOI":"10.1109\/ACCESS.2021.3090332","article-title":"Research on supply chain network resilience considering the exit and reselection of enterprises","volume":"9","author":"Tian","year":"2021","journal-title":"IEEE Access"},{"issue":"5","key":"10.1016\/j.cie.2026.112038_b0275","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1287\/mnsc.1060.0515","article-title":"On the value of mitigation and contingency strategies for managing supply chain disruption risks","volume":"52","author":"Tomlin","year":"2006","journal-title":"Management Science"},{"key":"10.1016\/j.cie.2026.112038_b0280","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2025.116767","article-title":"Enhancing the topological robustness of supply chain networks against dynamic disruptions: A complex adaptive system perspective","volume":"199","author":"Wang","year":"2025","journal-title":"Chaos, Solitons & Fractals"},{"key":"10.1016\/j.cie.2026.112038_b0285","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2023.113371","article-title":"A novel supply chain network evolving model under random and targeted disruptions","volume":"170","author":"Wang","year":"2023","journal-title":"Chaos, Solitons & Fractals"},{"issue":"5","key":"10.1016\/j.cie.2026.112038_b0290","doi-asserted-by":"crossref","DOI":"10.1080\/17517575.2024.2326673","article-title":"Simulation system design for critical-node detection and robustness analysis of supply chains","volume":"18","author":"Wang","year":"2024","journal-title":"Enterprise Information Systems"},{"issue":"3","key":"10.1016\/j.cie.2026.112038_b0295","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1007\/s11071-018-4135-z","article-title":"Modeling and analysis of under-load-based cascading failures in supply chain networks","volume":"92","author":"Wang","year":"2018","journal-title":"Nonlinear Dynamics"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0300","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1287\/msom.1070.0176","article-title":"Real-world multiechelon supply chains used for inventory optimization","volume":"10","author":"Willems","year":"2008","journal-title":"Manufacturing & Service Operations Management"},{"key":"10.1016\/j.cie.2026.112038_b0305","doi-asserted-by":"crossref","unstructured":"Xia, H. (2020). Improve the resilience of multilayer supply chain networks. Complexity, 2020, Article 6596483.","DOI":"10.1155\/2020\/6596483"},{"issue":"6","key":"10.1016\/j.cie.2026.112038_b0310","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1080\/21681015.2024.2349731","article-title":"The effect of strategic alliances on supply chain resilience under external shocks","volume":"41","author":"Xiao","year":"2024","journal-title":"Journal of Industrial and Production Engineering"},{"key":"10.1016\/j.cie.2026.112038_b0315","doi-asserted-by":"crossref","DOI":"10.1016\/j.resourpol.2023.104277","article-title":"Unravelling the landscape of global cobalt trade: Patterns, robustness, and supply chain security","volume":"86","author":"Yang","year":"2023","journal-title":"Resources Policy"},{"issue":"19","key":"10.1016\/j.cie.2026.112038_b0320","doi-asserted-by":"crossref","first-page":"18113","DOI":"10.1007\/s11071-023-08812-0","article-title":"Reconstructing a fractal supply chain network based on geographical characteristics","volume":"111","author":"Yang","year":"2023","journal-title":"Nonlinear Dynamics"},{"key":"10.1016\/j.cie.2026.112038_b0325","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109728","article-title":"Critical risks in global supply networks: A static structure and dynamic propagation perspective","volume":"242","author":"Yue","year":"2024","journal-title":"Reliability Engineering & System Safety"},{"issue":"23","key":"10.1016\/j.cie.2026.112038_b0330","doi-asserted-by":"crossref","first-page":"6938","DOI":"10.1080\/00207543.2014.917769","article-title":"Modelling of cluster supply network with cascading failure spread and its vulnerability analysis","volume":"52","author":"Zeng","year":"2014","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2026.112038_b0335","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109812","article-title":"Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modes","volume":"187","author":"Zhang","year":"2024","journal-title":"Computers & Industrial Engineering"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0340","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/JSYST.2010.2100192","article-title":"Analyzing the resilience of complex supply network topologies against random and targeted disruptions","volume":"5","author":"Zhao","year":"2011","journal-title":"IEEE Systems Journal"},{"issue":"2","key":"10.1016\/j.cie.2026.112038_b0345","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1109\/TEM.2010.2095503","article-title":"Achieving high robustness in supply distribution networks by rewiring","volume":"58","author":"Zhao","year":"2011","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"1","key":"10.1016\/j.cie.2026.112038_b0350","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1109\/TEM.2018.2808331","article-title":"Supply chain network robustness against disruptions: Topological analysis, measurement, and optimization","volume":"66","author":"Zhao","year":"2019","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"2","key":"10.1016\/j.cie.2026.112038_b0355","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1002\/joom.1009","article-title":"Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach","volume":"65","author":"Zhao","year":"2019","journal-title":"Journal of Operations Management"},{"issue":"4","key":"10.1016\/j.cie.2026.112038_b0360","doi-asserted-by":"crossref","first-page":"5305","DOI":"10.1109\/JSYST.2022.3161788","article-title":"Supply chain network resilience by considering disruption propagation: Topological and operational perspectives","volume":"16","author":"Zhao","year":"2022","journal-title":"IEEE Systems Journal"}],"container-title":["Computers &amp; Industrial Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360835226002391?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360835226002391?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T09:05:25Z","timestamp":1778749525000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0360835226002391"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":72,"alternative-id":["S0360835226002391"],"URL":"https:\/\/doi.org\/10.1016\/j.cie.2026.112038","relation":{},"ISSN":["0360-8352"],"issn-type":[{"value":"0360-8352","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Robustness analysis of supply networks considering failure suppression behavior in cascading failures","name":"articletitle","label":"Article Title"},{"value":"Computers & Industrial Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cie.2026.112038","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112038"}}