Risk identification in humanitarian food logistics using a hybrid literature search strategy and expert judgment

IF 4.5 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Prima Denny Sentia, Syaimak Abdul Shukor, Amelia Natasya Abdul Wahab, Muriati Mukhtar
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引用次数: 0

Abstract

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.

基于文献检索和专家判断的人道主义食品物流风险识别
当灾难发生时,人道主义物流和供应链管理(HLSCM)的工作是确保救援物资的及时和适当分配。一是分发食物,这是灾后最需要的基本物资之一。然而,食品物流的延误经常发生,给灾民带来致命的后果。在HLSCM中,延迟被称为风险,而延迟的原因是必须识别的风险代理。确定分销延迟中的风险代理是至关重要的,因为它会极大地影响整个HLSCM流程。本研究提出了一种结合专家判断的混合文献检索策略,以识别导致HLSCM过程中食品配送延迟的风险因素。研究结果表明,影响食品物流配送延迟的风险因子有17种。基于专家判断结果的数学聚合,三个风险因子:“库存数量”、“道路状况”和“沟通问题”显示出最高的平均值。本研究填补了现有HLSCM文献的空白,明确地识别和验证了这些风险因素。混合文献检索策略将系统的文献综述与专家判断相结合,为今后的研究提供了强有力的框架。这些发现为利益相关者提高物流效率和确保及时提供援助提供了实际见解。在关注风险识别的同时,本研究为未来的研究奠定了基础,以确定风险缓解策略的优先级,并进一步完善HLSCM实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
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.
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