Prima Denny Sentia, Syaimak Abdul Shukor, Amelia Natasya Abdul Wahab, Muriati Mukhtar
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The results of this study indicate that there are 17 risk agents affecting food logistics delivery delays. Based on the mathematical aggregation of expert judgment results, the highest average values are shown by three risk agents: “inventory quantity,” “road conditions,” and “communication problems.” This investigation fills the gap in the existing HLSCM literature by explicitly identifying and validating these risk factors. The hybrid literature search strategy combines a systematic literature review with expert judgment and provides a strong framework for future research. These findings offer practical insights for stakeholders to improve logistics efficiency and ensure timely aid delivery. While focusing on risk identification, this study lays the groundwork for future research to prioritize risk mitigation strategies and further refine HLSCM practices.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"352 1-2","pages":"217 - 250"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06773-8.pdf","citationCount":"0","resultStr":"{\"title\":\"Risk identification in humanitarian food logistics using a hybrid literature search strategy and expert judgment\",\"authors\":\"Prima Denny Sentia, Syaimak Abdul Shukor, Amelia Natasya Abdul Wahab, Muriati Mukhtar\",\"doi\":\"10.1007/s10479-025-06773-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>When a disaster occurs, Humanitarian Logistics and Supply Chain Management (HLSCM) works to ensure the timely and appropriate distribution of relief goods. One is food distribution, one of the most needed essential supplies after a disaster. However, delays in the delivery of food logistics often occur, resulting in fatal consequences for disaster victims. In HLSCM, delays are referred to as risks, while the causes of delays are risk agents that must be identified. Identifying risk agents in distribution delays is crucial because it dramatically affects the entire HLSCM flow. This study proposes a hybrid literature search strategy combined with expert judgment to identify risk agents that cause food delivery delays in the HLSCM process. The results of this study indicate that there are 17 risk agents affecting food logistics delivery delays. Based on the mathematical aggregation of expert judgment results, the highest average values are shown by three risk agents: “inventory quantity,” “road conditions,” and “communication problems.” This investigation fills the gap in the existing HLSCM literature by explicitly identifying and validating these risk factors. The hybrid literature search strategy combines a systematic literature review with expert judgment and provides a strong framework for future research. These findings offer practical insights for stakeholders to improve logistics efficiency and ensure timely aid delivery. While focusing on risk identification, this study lays the groundwork for future research to prioritize risk mitigation strategies and further refine HLSCM practices.</p></div>\",\"PeriodicalId\":8215,\"journal\":{\"name\":\"Annals of Operations Research\",\"volume\":\"352 1-2\",\"pages\":\"217 - 250\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10479-025-06773-8.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10479-025-06773-8\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://link.springer.com/article/10.1007/s10479-025-06773-8","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
Risk identification in humanitarian food logistics using a hybrid literature search strategy and expert judgment
When a disaster occurs, Humanitarian Logistics and Supply Chain Management (HLSCM) works to ensure the timely and appropriate distribution of relief goods. One is food distribution, one of the most needed essential supplies after a disaster. However, delays in the delivery of food logistics often occur, resulting in fatal consequences for disaster victims. In HLSCM, delays are referred to as risks, while the causes of delays are risk agents that must be identified. Identifying risk agents in distribution delays is crucial because it dramatically affects the entire HLSCM flow. This study proposes a hybrid literature search strategy combined with expert judgment to identify risk agents that cause food delivery delays in the HLSCM process. The results of this study indicate that there are 17 risk agents affecting food logistics delivery delays. Based on the mathematical aggregation of expert judgment results, the highest average values are shown by three risk agents: “inventory quantity,” “road conditions,” and “communication problems.” This investigation fills the gap in the existing HLSCM literature by explicitly identifying and validating these risk factors. The hybrid literature search strategy combines a systematic literature review with expert judgment and provides a strong framework for future research. These findings offer practical insights for stakeholders to improve logistics efficiency and ensure timely aid delivery. While focusing on risk identification, this study lays the groundwork for future research to prioritize risk mitigation strategies and further refine HLSCM practices.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.