J. Quiroz-Flores, Renato Jose Aguado-Rodriguez, Edisson Andree Zegarra-Aguinaga, Martin Collao-Diaz, A. Flores-Perez
{"title":"工业4.0、循环经济与食品工业的可持续性:文献综述","authors":"J. Quiroz-Flores, Renato Jose Aguado-Rodriguez, Edisson Andree Zegarra-Aguinaga, Martin Collao-Diaz, A. Flores-Perez","doi":"10.1108/ijieom-12-2022-0071","DOIUrl":null,"url":null,"abstract":"PurposeThis paper aims to find the best tools to influence the improvement of sustainability in food supply chains (FSCs) by conducting a systematic review of articles. The reader will learn how the different industry 4.0 tools (I4.0T) benefit the FSC and the limitations of each tool.Design/methodology/approachA review of 436 articles published during the period 2019 to 2022 referenced in the Scopus and Web of Science databases was performed. The review was limited to articles published in English and directly related to Industry 4.0, circular economy and sustainability in the food supply chain.FindingsThe results show different contributions of I4.0, with some being more influential than others in improving sustainability in FSCs; for example, Internet of Things and Blockchain have been shown to contribute more toward transparency, traceability, process optimization and waste reduction.Originality/valueThe paper's contribution consisted of ranking according to their importance and the I4.0T that affect sustainability in FSCs by classifying the aspects of each tool and the sustainability factors through a categorization by the Analysis Hierarchy Process.","PeriodicalId":268888,"journal":{"name":"International Journal of Industrial Engineering and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Industry 4.0, circular economy and sustainability in the food industry: a literature review\",\"authors\":\"J. Quiroz-Flores, Renato Jose Aguado-Rodriguez, Edisson Andree Zegarra-Aguinaga, Martin Collao-Diaz, A. Flores-Perez\",\"doi\":\"10.1108/ijieom-12-2022-0071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis paper aims to find the best tools to influence the improvement of sustainability in food supply chains (FSCs) by conducting a systematic review of articles. The reader will learn how the different industry 4.0 tools (I4.0T) benefit the FSC and the limitations of each tool.Design/methodology/approachA review of 436 articles published during the period 2019 to 2022 referenced in the Scopus and Web of Science databases was performed. The review was limited to articles published in English and directly related to Industry 4.0, circular economy and sustainability in the food supply chain.FindingsThe results show different contributions of I4.0, with some being more influential than others in improving sustainability in FSCs; for example, Internet of Things and Blockchain have been shown to contribute more toward transparency, traceability, process optimization and waste reduction.Originality/valueThe paper's contribution consisted of ranking according to their importance and the I4.0T that affect sustainability in FSCs by classifying the aspects of each tool and the sustainability factors through a categorization by the Analysis Hierarchy Process.\",\"PeriodicalId\":268888,\"journal\":{\"name\":\"International Journal of Industrial Engineering and Operations Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial Engineering and Operations Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijieom-12-2022-0071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Engineering and Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijieom-12-2022-0071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本文旨在通过对相关文章的系统回顾,找到影响食品供应链(FSCs)可持续性改善的最佳工具。读者将了解不同的工业4.0工具(I4.0T)如何使FSC受益,以及每种工具的局限性。设计/方法/方法对Scopus和Web of Science数据库中2019年至2022年期间发表的436篇文章进行了回顾。该综述仅限于以英文发表的与工业4.0、循环经济和食品供应链可持续性直接相关的文章。结果表明,I4.0对FSCs可持续性的贡献各不相同,其中一些对FSCs可持续性的影响更大;例如,物联网和区块链已被证明对透明度、可追溯性、流程优化和减少浪费做出了更大的贡献。本文的贡献包括根据其重要性和影响fsc可持续性的I4.0T进行排名,通过对每个工具的各个方面进行分类,并通过层次分析法对可持续性因素进行分类。
Industry 4.0, circular economy and sustainability in the food industry: a literature review
PurposeThis paper aims to find the best tools to influence the improvement of sustainability in food supply chains (FSCs) by conducting a systematic review of articles. The reader will learn how the different industry 4.0 tools (I4.0T) benefit the FSC and the limitations of each tool.Design/methodology/approachA review of 436 articles published during the period 2019 to 2022 referenced in the Scopus and Web of Science databases was performed. The review was limited to articles published in English and directly related to Industry 4.0, circular economy and sustainability in the food supply chain.FindingsThe results show different contributions of I4.0, with some being more influential than others in improving sustainability in FSCs; for example, Internet of Things and Blockchain have been shown to contribute more toward transparency, traceability, process optimization and waste reduction.Originality/valueThe paper's contribution consisted of ranking according to their importance and the I4.0T that affect sustainability in FSCs by classifying the aspects of each tool and the sustainability factors through a categorization by the Analysis Hierarchy Process.