{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:25:52Z","timestamp":1760059552459,"version":"build-2065373602"},"reference-count":49,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T00:00:00Z","timestamp":1750809600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62062011","2023GXNSFAA026511","GXKS2023QN005"],"award-info":[{"award-number":["62062011","2023GXNSFAA026511","GXKS2023QN005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012547","name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region","doi-asserted-by":"publisher","award":["62062011","2023GXNSFAA026511","GXKS2023QN005"],"award-info":[{"award-number":["62062011","2023GXNSFAA026511","GXKS2023QN005"]}],"id":[{"id":"10.13039\/100012547","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Science &amp; Technology Normal University Foundation","award":["62062011","2023GXNSFAA026511","GXKS2023QN005"],"award-info":[{"award-number":["62062011","2023GXNSFAA026511","GXKS2023QN005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The frequent occurrence of natural disasters creates a symmetry-breaking scenario between pre-disaster planning and post-disaster rescue operations, such as post-disaster supply\u2013demand mismatches for materials and the risk of potential facility failures. Thus, we propose a dual-uncertainty multi-scenario multi-period facility location allocation model for humanitarian rescue. The model employs two polyhedral uncertainty sets to represent facility failure risks and demand uncertainty at disaster points. Moreover, by constructing diverse disaster scenarios, it simulates material distribution schemes across different relief periods, enhancing its realism. Given that the model integrates three subproblems\u2014facility location, supply\u2013demand matching analysis, and emergency material allocation\u2014we design a hybrid algorithm (DCSA-MA) that combines the discrete crow search algorithm (DCSA) and the material allocation (MA) method for its solution. Experimental results demonstrate that the model maintains a relatively high material satisfaction rate even under significant demand fluctuations. The number of facility failures has a direct bearing on emergency rescue effectiveness. The DCSA-MA method achieves a superior material satisfaction rate compared to other algorithms across various disaster scenarios and multiple rescue periods. Furthermore, DCSA-MA outperforms other algorithms in terms of solution quality, convergence, computational time, and stability. These findings indicate that DCSA-MA is an effective and highly stable approach.<\/jats:p>","DOI":"10.3390\/sym17070999","type":"journal-article","created":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T09:08:44Z","timestamp":1751447324000},"page":"999","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Dual-Uncertainty Multi-Scenario Multi-Period Facility Location Model for Post-Disaster Humanitarian Logistics"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8797-9896","authenticated-orcid":false,"given":"Le","family":"Xu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Guizhou University, Guiyang 550025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9541-4411","authenticated-orcid":false,"given":"Liliang","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Engineering, Guangxi Science & Technology Normal University, Laibin 546100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangqiong","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Engineering, Guangxi Science & Technology Normal University, Laibin 546100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiweo","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Engineering, Guangxi Science & Technology Normal University, Laibin 546100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Automotive Engineering (SAIC-GM-Wuling Automotive Industry College), Guangxi Science & Technology Normal University, Laibin 546100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Engineering, Guangxi Science & Technology Normal University, Laibin 546100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1287\/opre.1070.0434","article-title":"Balancing terrorism and natural disasters\u2014Defensive strategy with endogenous attacker effort","volume":"55","author":"Zhuang","year":"2007","journal-title":"Oper. 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