{"title":"跨职能质量管理:以春播为例","authors":"E. Krueger, D. Kurtener, Andrew Migut","doi":"10.17830/J.EAJ.2016.03.018","DOIUrl":null,"url":null,"abstract":"Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"41 1","pages":"18-24"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cross-Functional Quality Management: Case Study of Sowing of Spring Plants\",\"authors\":\"E. Krueger, D. Kurtener, Andrew Migut\",\"doi\":\"10.17830/J.EAJ.2016.03.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.\",\"PeriodicalId\":30775,\"journal\":{\"name\":\"European Agrophysical Journal\",\"volume\":\"41 1\",\"pages\":\"18-24\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Agrophysical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17830/J.EAJ.2016.03.018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Agrophysical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17830/J.EAJ.2016.03.018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cross-Functional Quality Management: Case Study of Sowing of Spring Plants
Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.
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