{"title":"KOMPARASI FUZZY AHP, TOPSIS DAN SMART UNTUK PEMILIHAN SUPPLIER","authors":"Samdan Wibawa (BINUS University), AD Ekawati (BINUS University), Budian Maryadi (BINUS University), Nurafni Fitriyani (BINUS University), Aanp Redi (BINUS University)","doi":"10.30988/jmil.v5i2.832","DOIUrl":null,"url":null,"abstract":"abstractPT.XYZ is a manufacturing drilling tools company where the assembly parts are supplied by the other companies. With 4% average percentage of not good (NG) from incoming assembly inspections in 2019 and the peak of 9,8% in April, the company needs to review its current suppliers. This research compares the result of the supplier selection using FAHP, TOPSIS and SMART methods to get the recommended suppliers. The three methods resulted the same suppliers with the highest value which is Supplier#3 and the three lowest values which are Supplier#4, Supplier#7 and Supplier#2 it is recommended to re-evaluation to improve their performance. This research compares the result of the supplier selection using FAHP, TOPSIS and SMART methods to get the recommended suppliers. The questionnaires were given to 12 subject matter experts. Using FAHP, TOPSIS and SMART methods to get the recommended suppliers..","PeriodicalId":33809,"journal":{"name":"Jurnal Manajemen Industri dan Logistik","volume":"144 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Manajemen Industri dan Logistik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30988/jmil.v5i2.832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
abstractPT.XYZ is a manufacturing drilling tools company where the assembly parts are supplied by the other companies. With 4% average percentage of not good (NG) from incoming assembly inspections in 2019 and the peak of 9,8% in April, the company needs to review its current suppliers. This research compares the result of the supplier selection using FAHP, TOPSIS and SMART methods to get the recommended suppliers. The three methods resulted the same suppliers with the highest value which is Supplier#3 and the three lowest values which are Supplier#4, Supplier#7 and Supplier#2 it is recommended to re-evaluation to improve their performance. This research compares the result of the supplier selection using FAHP, TOPSIS and SMART methods to get the recommended suppliers. The questionnaires were given to 12 subject matter experts. Using FAHP, TOPSIS and SMART methods to get the recommended suppliers..