基于FMEA和灰色关联分析的人道主义供应链风险管理

IF 6.2 2区 经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2023-06-01 DOI:10.1016/j.seps.2023.101551
Glenda Minguito, Jenith Banluta
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引用次数: 5

摘要

新冠肺炎大流行扰乱了在灾难期间运送紧急物品所需的人道主义供应链管理(HSCM)。气候变化和疫情的综合影响揭示了人道主义供应链运作的脆弱性,并突显了风险管理的重要性。本研究旨在确定优先风险因素,并提出处于救援行动前沿的地方政府的缓解风险策略。它使用灰色关联分析(GRA)方法来验证故障模式和影响分析(FMEA)方法在识别与供应链风险相关的优先问题方面的有效性。本文揭示了FMEA和GRA的结果几乎相似。
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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Risk management in humanitarian supply chain based on FMEA and grey relational analysis

The COVID-19 pandemic has disrupted the humanitarian supply chain management (HSCM) necessary for delivering emergency items during the disaster. The combined effects of climate change and the pandemic uncover the vulnerabilities of humanitarian supply chain operations and highlight the importance of risk management. This study aimed to identify priority risk factors and proposed mitigating risk strategies of a local government that is at the forefront of relief operations. It used Grey Relational Analysis (GRA) method to validate the Failure Mode and Effect Analysis (FMEA) approach in identifying priority issues relating to the supply chain risks. This paper reveals that the results of FMEA and GRA are almost similar.

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来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
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