{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T06:17:26Z","timestamp":1772000246764,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Liaoning Provincial Department of Education Project","award":["LJ112410142044"],"award-info":[{"award-number":["LJ112410142044"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>In the context of multiple overlapping uncertainties, upstream disruptions in electric vehicle supply chain networks are becoming increasingly frequent. Given the dynamic and sudden nature of disruption risks, this paper introduces a stochastic stopping model to incorporate disruption risks into resilience governance. This study constructs a differential game model for resilience governance in electric vehicle supply chain networks, involving governments, suppliers, and core manufacturers. This study proposes a dynamic resilience differential equation, which integrates resilience investment efforts. Then, this study explores optimal resilience strategies and dynamic equilibrium trajectories of resilience levels under three game models. The results indicate that optimal resilience investment efforts are negatively correlated with the effort-cost coefficients, resilience decay rates, disruption probability, and damage rate. Conversely, these efforts are positively correlated with supply chain network resilience, benefits, and the resilience influence coefficients. Disruption probability and damage rate are negatively correlated with benefits. Disruption risks distort the time preferences of governance entities, causing them to overvalue immediate gains and undervalue future returns. Finally, both supply chain resilience and total benefits reach their optimal levels under the collaborative game model.<\/jats:p>","DOI":"10.3390\/systems14020202","type":"journal-article","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T16:09:32Z","timestamp":1770998972000},"page":"202","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Governance of Electric Vehicle Supply Chain Network Resilience Under Disruption Risks"],"prefix":"10.3390","volume":"14","author":[{"given":"Xuan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Management, Shenyang University of Technology, Shenyang 110870, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoye","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Management, Shenyang University of Technology, Shenyang 110870, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meilin","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Management, Shenyang University of Technology, Shenyang 110870, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1080\/00207543.2023.2173509","article-title":"Financial ripple effect in complex adaptive supply networks: An agent-based model","volume":"62","author":"Proselkov","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"103227","DOI":"10.1016\/j.omega.2024.103227","article-title":"Can feature removal benefit the automotive manufacturers amid supply shortages? An analytical investigation","volume":"132","author":"Wang","year":"2025","journal-title":"Omega"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sarwar, D., and Rye, S. (2025). The impact of the Russia-Ukraine war on global supply chains: A systematic literature review. Front. Sustain. Food Syst., 9.","DOI":"10.3389\/fsufs.2025.1648918"},{"key":"ref_4","unstructured":"He, N., Li, Y.H., and Jiang, Z.Z. (2025). Information sharing options and collaborative inventoryoptimization under supply disruption risk. Syst. Eng.-Theory Pract., 1\u201317. Available online: https:\/\/link.cnki.net\/urlid\/11.2267.N.20250915.1020.012."},{"key":"ref_5","first-page":"2198055","article-title":"A sustainable and resilient supply chain (RS-SCM) by using synchronisation and load-sharing approach: Application in the oil and gas refinery","volume":"10","author":"Khezeli","year":"2023","journal-title":"Int. J. Syst. Sci. Oper. Logist."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"103948","DOI":"10.1016\/j.trd.2023.103948","article-title":"Scenario-based strategies evaluation for the maritime supply chain resilience","volume":"124","author":"Gu","year":"2023","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_7","first-page":"226","article-title":"Study on the supply chain dynamics strategy of advanced manufacturing chain considering the level of effort under the improvement of security and stability level","volume":"37","author":"Yang","year":"2025","journal-title":"Manag. Rev."},{"key":"ref_8","first-page":"249","article-title":"Research on the resilience investment behavior and governance of the supply chain in the \u201cfarming-supermarket\u201d docking under government regulation","volume":"37","author":"Chen","year":"2025","journal-title":"Manag. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Liu, J., Kang, K., Lu, L., Dong, R., Luo, X., Li, C., Long, P., Yang, X., and Mao, S. (2025). Decision analysis considering the resilience level of the food supply chain under the risk of demand disruption. Flex. Serv. Manuf. J., 9.","DOI":"10.3389\/fsufs.2025.1563938"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"108161","DOI":"10.1016\/j.resconrec.2025.108161","article-title":"Resilience assessment of the electric vehicle lithium-ion battery supply chain under supply shortages of upstream mineral enterprises","volume":"215","author":"Lou","year":"2025","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"104290","DOI":"10.1016\/j.tre.2025.104290","article-title":"Modeling supply chain disruptions due to geopolitical Reasons: A systematic literature review","volume":"202","author":"Langella","year":"2025","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3079","DOI":"10.1108\/IMDS-08-2024-0848","article-title":"Disruption risks in a multi-echelon supply chain considering ripple effects: Assessing its resilience based on recovery measures","volume":"125","author":"Manupati","year":"2025","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"104042","DOI":"10.1016\/j.tre.2025.104042","article-title":"Flying through uncertainty: Air transportation\u2019s impact on supply chain resilience and inventory efficiency","volume":"197","author":"Ke","year":"2025","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"110030","DOI":"10.1016\/j.cie.2024.110030","article-title":"Optimal resilience strategy for manufacturers to deal with supply disruptions: Investment in supply stability versus dual sourcing","volume":"190","author":"Lou","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"111311","DOI":"10.1016\/j.cie.2025.111311","article-title":"Backup production decisions and financing strategies of a capital-constrained supplier with supply disruption","volume":"207","author":"Ma","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"109376","DOI":"10.1016\/j.ijpe.2024.109376","article-title":"Integrating resilience and reliability in semiconductor supply chains during disruptions","volume":"276","author":"Kumar","year":"2024","journal-title":"Int. J. Prod. Econ."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Duong, A.T.B., Ta, T.D., Truong, D.Q., Hoang, T.G., Pham, H., Hoang, T.H., and Quang, H.T. (2025). Direct and indirect effect of risk on construction supply chain in disruption era: A service-oriented view. Eng. Constr. Archit. Manag., Epub ahead of printing.","DOI":"10.1108\/ECAM-04-2024-0456"},{"key":"ref_18","first-page":"40","article-title":"Enhancement strategies of crude oil maritime supply chain network resilience under uncertain disturbances","volume":"45","author":"Zhong","year":"2024","journal-title":"J. Shanghai Marit. Univ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"104172","DOI":"10.1016\/j.tre.2025.104172","article-title":"Adaptive resilience strategies for supply chain networks against disruptions","volume":"200","author":"Nibbrig","year":"2025","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_20","first-page":"43","article-title":"Configuring supply chain governance and digital capabilities for resilience: Evidence from the manufacturing sector","volume":"20","author":"Liang","year":"2025","journal-title":"Adv. Prod. Eng. Manag."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.cirpj.2024.06.008","article-title":"Enhancing multi-facility manufacturing resilience through integrated product and supply chain network design","volume":"52","author":"Hosseinzadeh","year":"2024","journal-title":"CIRP J. Manuf. Sci. Technol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3982","DOI":"10.1080\/00207543.2024.2432472","article-title":"Assessing resilience measures in the Austrian dairy supply chain: A case-based simulation integrating strategic, tactical, and operational decisions","volume":"63","author":"Kettele","year":"2025","journal-title":"Int. J. Prod. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1080\/00207543.2025.2546653","article-title":"Building resilient closed-loop supply chains: Resilience enablers and diversified sourcing under global disruptions","volume":"64","author":"Habibi","year":"2026","journal-title":"Int. J. Prod. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.1080\/09537287.2023.2173104","article-title":"A public-private collaboration model of supply chain resilience to unpredictable disruptions: An exploratory empirical case study of medical mask production and distribution","volume":"35","author":"Li","year":"2024","journal-title":"Prod. Plan. Control"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"9011","DOI":"10.1080\/00207543.2024.2331556","article-title":"Resilient and sustainable energy supply chains: Insights on sourcing and pricing strategies in a non-collaborative and collaborative environment","volume":"62","author":"Rajabzadeh","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"106779","DOI":"10.1016\/j.ocecoaman.2023.106779","article-title":"Improving resilience via capacity allocation and strategic pricing: Co-opetition in a shipping supply chain","volume":"244","author":"Lyu","year":"2023","journal-title":"Ocean Coast. Manag."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Long, Q., Wu, X., Wu, X., and Xu, Q. (2025). Evolutionary game analysis of governments, enterprises and consumers in resilient food supply chains during emergencies. Flex. Serv. Manuf. J., 1\u201339.","DOI":"10.1007\/s10696-025-09592-y"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s10287-006-0032-x","article-title":"Developments in differential game theory and numerical methods: Economic and management applications","volume":"4","author":"Zaccour","year":"2007","journal-title":"Comput. Manag. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"141240","DOI":"10.1016\/j.jclepro.2024.141240","article-title":"Technological cooperation relationships among supply chain enterprises under the perspective of technological blockade: A tripartite evolutionary game model","volume":"447","author":"Qi","year":"2024","journal-title":"J. Clean. Prod."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Li, C., Ke, Y., Lu, L., and Xu, K. (2024). Healthcare supply chain resilience investment strategy analysis based on evolutionary game. Symmetry, 16.","DOI":"10.3390\/sym16070787"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Yu, R., Liu, F., Cheng, T.C.E., and Xu, X. (2025). AI-Blockchain synergy for resilient agricultural supply chains: An evolutionary game analysis. Int. J. Prod. Res., 1\u201327.","DOI":"10.1080\/00207543.2025.2604309"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"129","DOI":"10.2307\/2551549","article-title":"Optimal advertising policy under dynamic conditions","volume":"29","author":"Nerlove","year":"1962","journal-title":"Economica"},{"key":"ref_33","first-page":"1333","article-title":"Stochastic differential game model of diversified supply of emergency medical supplies led by government","volume":"43","author":"Yang","year":"2023","journal-title":"Syst. Eng.-Theory Pract."},{"key":"ref_34","first-page":"37","article-title":"Research on Disaster Adaptability Improvement Based on Differential Game Model in the Context of Big Data","volume":"38","author":"He","year":"2023","journal-title":"J. Catastrophol."},{"key":"ref_35","first-page":"116","article-title":"Research on food supply chain dynamic strategy formulation and coordination under the prediction of food safety crisis","volume":"31","author":"Hu","year":"2023","journal-title":"Chin. J. Manag. Sci."},{"key":"ref_36","first-page":"857","article-title":"Recovery efforts and contracts in a dual-channel supply chain under epidemic","volume":"43","author":"Wang","year":"2023","journal-title":"Syst. Eng.-Theory Pract."},{"key":"ref_37","first-page":"413","article-title":"Dynamic quality and marketing decisions with envision of brand crisis in a dual channel supply chain","volume":"31","author":"Wang","year":"2022","journal-title":"J. Syst. Manag."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"129895","DOI":"10.1016\/j.jclepro.2021.129895","article-title":"Designing an optimal sustainable supply chain system considering pricing decisions and resilience factors","volume":"332","author":"Taleizadeh","year":"2022","journal-title":"J. Clean. Prod."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/14\/2\/202\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T05:14:07Z","timestamp":1771996447000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/14\/2\/202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,13]]},"references-count":38,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["systems14020202"],"URL":"https:\/\/doi.org\/10.3390\/systems14020202","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,13]]}}}