KOMPARASI FUZZY AHP, TOPSIS DAN SMART UNTUK PEMILIHAN SUPPLIER

Samdan Wibawa (BINUS University), AD Ekawati (BINUS University), Budian Maryadi (BINUS University), Nurafni Fitriyani (BINUS University), Aanp Redi (BINUS University)
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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..
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abstractPT。XYZ是一家制造钻井工具的公司,其装配部件由其他公司提供。2019年来料装配检验中不良(NG)的平均比例为4%,4月份达到9.8%的峰值,该公司需要对目前的供应商进行审查。本研究采用FAHP、TOPSIS和SMART方法对供应商选择结果进行比较,得到推荐供应商。三种方法得出的供应商价值最高的是供应商#3,最低的是供应商#4、供应商#7和供应商#2,建议对其进行重新评估,以提高其绩效。本研究采用FAHP、TOPSIS和SMART方法对供应商选择结果进行比较,得到推荐供应商。调查问卷发给了12位主题专家。运用FAHP、TOPSIS、SMART等方法获得推荐供应商。
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审稿时长
10 weeks
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