1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Fuzzy Multicriteria Decision-Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry
作者 裘錦天
Chyou, Jiin-Tian
Wang, Chia-Nan
Nguyen, Van Thanh
Lin, Tsung-Fu
Nguyen, Tran Ngoc
貢獻者 資管系
關鍵詞 supplier selection; MCDM; fuzzy theory; FANP; VIKOR; plastics industry
日期 2019-10
上傳時間 22-Jan-2021 09:22:59 (UTC+8)
摘要 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.
關聯 Mathematics, 2019, 7, 981
資料類型 article
DOI https://doi.org/10.3390/math7100981
dc.contributor 資管系
dc.creator (作者) 裘錦天
dc.creator (作者) Chyou, Jiin-Tian
dc.creator (作者) Wang, Chia-Nan
dc.creator (作者) Nguyen, Van Thanh
dc.creator (作者) Lin, Tsung-Fu
dc.creator (作者) Nguyen, Tran Ngoc
dc.date (日期) 2019-10
dc.date.accessioned 22-Jan-2021 09:22:59 (UTC+8)-
dc.date.available 22-Jan-2021 09:22:59 (UTC+8)-
dc.date.issued (上傳時間) 22-Jan-2021 09:22:59 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/133674-
dc.description.abstract (摘要) 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.
dc.format.extent 544275 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Mathematics, 2019, 7, 981
dc.subject (關鍵詞) supplier selection; MCDM; fuzzy theory; FANP; VIKOR; plastics industry
dc.title (題名) Fuzzy Multicriteria Decision-Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.3390/math7100981
dc.doi.uri (DOI) https://doi.org/10.3390/math7100981