Modeling resilient functions in perishable food supply chains: transition for sustainable food system development

Yash Daultani, Ashish Dwivedi, S. Pratap, Akshay Sharma
{"title":"Modeling resilient functions in perishable food supply chains: transition for sustainable food system development","authors":"Yash Daultani, Ashish Dwivedi, S. Pratap, Akshay Sharma","doi":"10.1108/bij-05-2023-0310","DOIUrl":null,"url":null,"abstract":"PurposeNatural disasters cause serious operational risks and disruptions, which further impact the food supply in and around the disaster-impacted area. Resilient functions in the supply chain are required to absorb the impact of resultant disruptions in perishable food supply chains (FSC). The present study identifies specific resilient functions to overcome the problems created by natural disasters in the FSC context.Design/methodology/approachThe quality function deployment (QFD) method is utilized for identifying these relations. Further, fuzzy term sets and the analytical hierarchy process (AHP) are used to prioritize the identified problems. The results obtained are employed to construct a QFD matrix with the solutions, followed by the technique for order of preference by similarity to the ideal solution (TOPSIS) on the house of quality (HOQ) matrix between the identified problems and functions.FindingsThe results from the study reflect that the shortage of employees in affected areas is the major problem caused by a natural disaster, followed by the food movement problem. The results from the analysis matrix conclude that information sharing should be kept at the highest priority by policymakers to build and increase resilient functions and sustainable crisis management in a perishable FSC network.Originality/valueThe study suggests practical implications for managing a FSC crisis during a natural disaster. The unique contribution of this research lies in finding the correlation and importance ranking among different resilience functions, which is crucial for managing a FSC crisis during a natural disaster.","PeriodicalId":502853,"journal":{"name":"Benchmarking: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Benchmarking: An International Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/bij-05-2023-0310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeNatural disasters cause serious operational risks and disruptions, which further impact the food supply in and around the disaster-impacted area. Resilient functions in the supply chain are required to absorb the impact of resultant disruptions in perishable food supply chains (FSC). The present study identifies specific resilient functions to overcome the problems created by natural disasters in the FSC context.Design/methodology/approachThe quality function deployment (QFD) method is utilized for identifying these relations. Further, fuzzy term sets and the analytical hierarchy process (AHP) are used to prioritize the identified problems. The results obtained are employed to construct a QFD matrix with the solutions, followed by the technique for order of preference by similarity to the ideal solution (TOPSIS) on the house of quality (HOQ) matrix between the identified problems and functions.FindingsThe results from the study reflect that the shortage of employees in affected areas is the major problem caused by a natural disaster, followed by the food movement problem. The results from the analysis matrix conclude that information sharing should be kept at the highest priority by policymakers to build and increase resilient functions and sustainable crisis management in a perishable FSC network.Originality/valueThe study suggests practical implications for managing a FSC crisis during a natural disaster. The unique contribution of this research lies in finding the correlation and importance ranking among different resilience functions, which is crucial for managing a FSC crisis during a natural disaster.
易腐食品供应链弹性功能建模:向可持续食品系统发展过渡
目的自然灾害会造成严重的运营风险和中断,进一步影响受灾地区及其周边地区的食品供应。在易腐食品供应链(FSC)中,需要供应链中的弹性功能来吸收由此造成的中断影响。本研究确定了具体的弹性功能,以克服自然灾害在食品供应链中造成的问题。此外,还使用了模糊术语集和分析层次过程(AHP)来确定已识别问题的优先次序。研究结果研究结果表明,灾区员工短缺是自然灾害造成的主要问题,其次是食品流动问题。分析矩阵得出的结论是,政策制定者应将信息共享放在最优先位置,以建立和增强易腐食品供应链网络的弹性功能和可持续危机管理。本研究的独特贡献在于发现了不同抗灾功能之间的相关性和重要性排序,这对于在自然灾害期间管理森林合作伙伴关系危机至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信