{"title":"模糊层次分析法在对虾农业生产绩效评价中的应用","authors":"L. Herlina, Y. Dwiyanti","doi":"10.36055/jiss.v7i1.12774","DOIUrl":null,"url":null,"abstract":"Received: 24 Oktober 2021 Revision: 26 Oktober 2021 Accepted: 31 Oktober 2021 Performance measurement is needed by industry, including the food processing industry. One of the food processing industries is shrimp agroindustry. Performance measurement for shrimp agroindustry is necessary because of competition from similar industries. Performance measurement can be used as a basis for making strategies in decision-making systems. It is one way the shrimp agroindustry survives in market competition. This study aims to determine the performance matrix in the shrimp agroindustry. Fuzzy-AHP is used to design performance measurements. The results of the performance matrix are as follows: efficiency (0.268), quality (0.226), flexibility (0.061), responsiveness (0.120), coordination and collaboration (0.085) and sustainability (0.239).","PeriodicalId":111822,"journal":{"name":"Journal Industrial Servicess","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy-AHP approach for performance measurement in shrimp agroindustry\",\"authors\":\"L. Herlina, Y. Dwiyanti\",\"doi\":\"10.36055/jiss.v7i1.12774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Received: 24 Oktober 2021 Revision: 26 Oktober 2021 Accepted: 31 Oktober 2021 Performance measurement is needed by industry, including the food processing industry. One of the food processing industries is shrimp agroindustry. Performance measurement for shrimp agroindustry is necessary because of competition from similar industries. Performance measurement can be used as a basis for making strategies in decision-making systems. It is one way the shrimp agroindustry survives in market competition. This study aims to determine the performance matrix in the shrimp agroindustry. Fuzzy-AHP is used to design performance measurements. The results of the performance matrix are as follows: efficiency (0.268), quality (0.226), flexibility (0.061), responsiveness (0.120), coordination and collaboration (0.085) and sustainability (0.239).\",\"PeriodicalId\":111822,\"journal\":{\"name\":\"Journal Industrial Servicess\",\"volume\":\"198 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal Industrial Servicess\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36055/jiss.v7i1.12774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal Industrial Servicess","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36055/jiss.v7i1.12774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy-AHP approach for performance measurement in shrimp agroindustry
Received: 24 Oktober 2021 Revision: 26 Oktober 2021 Accepted: 31 Oktober 2021 Performance measurement is needed by industry, including the food processing industry. One of the food processing industries is shrimp agroindustry. Performance measurement for shrimp agroindustry is necessary because of competition from similar industries. Performance measurement can be used as a basis for making strategies in decision-making systems. It is one way the shrimp agroindustry survives in market competition. This study aims to determine the performance matrix in the shrimp agroindustry. Fuzzy-AHP is used to design performance measurements. The results of the performance matrix are as follows: efficiency (0.268), quality (0.226), flexibility (0.061), responsiveness (0.120), coordination and collaboration (0.085) and sustainability (0.239).