{"title":"跨职能质量管理:审核生产小组决策案例","authors":"E. Krueger, D. Kurtener, Andrew Migut","doi":"10.17830/J.EAJ.2016.03.060","DOIUrl":null,"url":null,"abstract":"In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"9 1","pages":"56-64"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cross-Functional Quality Management: Case of Examination of Decisions Given by Producer Groups\",\"authors\":\"E. Krueger, D. Kurtener, Andrew Migut\",\"doi\":\"10.17830/J.EAJ.2016.03.060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.\",\"PeriodicalId\":30775,\"journal\":{\"name\":\"European Agrophysical Journal\",\"volume\":\"9 1\",\"pages\":\"56-64\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Agrophysical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17830/J.EAJ.2016.03.060\",\"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.2016.03.060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cross-Functional Quality Management: Case of Examination of Decisions Given by Producer Groups
In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.