Vanessa Bertholdo Vargas, jefferson de oliveira gomes, Tedni de Abreu Goulart
{"title":"运用层次分析法对巴西工业中小企业的技术用例进行优先排序","authors":"Vanessa Bertholdo Vargas, jefferson de oliveira gomes, Tedni de Abreu Goulart","doi":"10.26678/abcm.creem2023.cre2023-0148","DOIUrl":null,"url":null,"abstract":". In the last decades, the global industry has been experiencing a technological advance that is providing the development of the concepts of the Fourth Industrial Revolution. In this context, small and medium-sized enterprises (SMEs) need to overcome a series of challenges to implement these emerging technologies, which are currently more within reach of larger companies. One of the challenges perceived by SMEs is choosing the most appropriate technology for them. In this sense, the Analytic Hierarchy Process (AHP) tool proved to have the potential to help decision-making, including helping Brazilian industries to choose technology. In order to contemplate both the wills and the real needs of the companies, data from specialists in the industrial area and data that demonstrate the wills of the companies were collected. This collection took place through prioritization questionnaires with the companies participating in the research. This method proved to be efficient in directing the choice of a technology for consultants and companies. In addition, it was noticed that most of the companies selected for the study had a greater need for the technological use case defined as \"Process Monitoring\", followed by the use case of \"Asset Tracking\" and finally, \"Digitization of Industrial Processes\".","PeriodicalId":309145,"journal":{"name":"XXIX Congresso Nacional de Estudantes de Engenharia Mecânica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"APLICAÇÃO DA FERRAMENTA AHP PARA PRIORIZAR CASO DE USO TECNOLÓGICO EM PMES DA INDÚSTRIA BRASILEIRA\",\"authors\":\"Vanessa Bertholdo Vargas, jefferson de oliveira gomes, Tedni de Abreu Goulart\",\"doi\":\"10.26678/abcm.creem2023.cre2023-0148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". In the last decades, the global industry has been experiencing a technological advance that is providing the development of the concepts of the Fourth Industrial Revolution. In this context, small and medium-sized enterprises (SMEs) need to overcome a series of challenges to implement these emerging technologies, which are currently more within reach of larger companies. One of the challenges perceived by SMEs is choosing the most appropriate technology for them. In this sense, the Analytic Hierarchy Process (AHP) tool proved to have the potential to help decision-making, including helping Brazilian industries to choose technology. In order to contemplate both the wills and the real needs of the companies, data from specialists in the industrial area and data that demonstrate the wills of the companies were collected. This collection took place through prioritization questionnaires with the companies participating in the research. This method proved to be efficient in directing the choice of a technology for consultants and companies. In addition, it was noticed that most of the companies selected for the study had a greater need for the technological use case defined as \\\"Process Monitoring\\\", followed by the use case of \\\"Asset Tracking\\\" and finally, \\\"Digitization of Industrial Processes\\\".\",\"PeriodicalId\":309145,\"journal\":{\"name\":\"XXIX Congresso Nacional de Estudantes de Engenharia Mecânica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"XXIX Congresso Nacional de Estudantes de Engenharia Mecânica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26678/abcm.creem2023.cre2023-0148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"XXIX Congresso Nacional de Estudantes de Engenharia Mecânica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26678/abcm.creem2023.cre2023-0148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
APLICAÇÃO DA FERRAMENTA AHP PARA PRIORIZAR CASO DE USO TECNOLÓGICO EM PMES DA INDÚSTRIA BRASILEIRA
. In the last decades, the global industry has been experiencing a technological advance that is providing the development of the concepts of the Fourth Industrial Revolution. In this context, small and medium-sized enterprises (SMEs) need to overcome a series of challenges to implement these emerging technologies, which are currently more within reach of larger companies. One of the challenges perceived by SMEs is choosing the most appropriate technology for them. In this sense, the Analytic Hierarchy Process (AHP) tool proved to have the potential to help decision-making, including helping Brazilian industries to choose technology. In order to contemplate both the wills and the real needs of the companies, data from specialists in the industrial area and data that demonstrate the wills of the companies were collected. This collection took place through prioritization questionnaires with the companies participating in the research. This method proved to be efficient in directing the choice of a technology for consultants and companies. In addition, it was noticed that most of the companies selected for the study had a greater need for the technological use case defined as "Process Monitoring", followed by the use case of "Asset Tracking" and finally, "Digitization of Industrial Processes".