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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/133674

Title:	Fuzzy Multicriteria Decision-Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry
Authors:	裘錦天 Chyou, Jiin-Tian Wang, Chia-Nan Nguyen, Van Thanh Lin, Tsung-Fu Nguyen, Tran Ngoc
Contributors:	資管系
Keywords:	supplier selection;MCDM;fuzzy theory;FANP;VIKOR;plastics industry
Date:	2019-10
Issue Date:	2021-01-22 09:22:59 (UTC+8)
Abstract:	To be able to compete in the domestic plastic industry, small and medium-sized enterprises producing plastic need to proactively find the supply of raw materials, avoiding shortages like in the previous years. Purchasing is extremely important and will create a competitive advantage with competitors in the market, so finding suppliers will determine the success in the later stages of the production chain. With the development of the current information system, selection and evaluation have become important in order to achieve effective decision-making through optimal options. In this study, the authors provide a new approach for decision-makers in evaluating and selecting suppliers, which is formulated based on the supply chain operation reference (SCOR) model, fuzzy analytic network process (FANP), and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The contribution of this research is to propose a multicriteria decision-making model (MCDM) for raw material supplier selection in the plastic industry. This research also provided a useful guideline for supplier selection in other industry.
Relation:	Mathematics, 2019, 7, 981
Data Type:	article
DOI 連結:	https://doi.org/10.3390/math7100981
DOI:	10.3390/math7100981
Appears in Collections:	[資訊管理學系] 期刊論文

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