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Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2015 / Cilt: 33 - Sayı: 3

SUPPLIER SELECTION WITH TOPSIS METHOD IN FUZZY ENVIRONMENT: AN APPLICATION IN BANKING SECTOR

Berk AYVAZ
Eda BOLTÜRK
Sibkat KAÇTIOĞLU
Sayfa
351–362
Yayın Tarihi
2015-09-01
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Quality, purchasing costs, additional costs (maintenance, training, and update costs etc.), security level, compatibility with existing IT infrastructure, after-sales support, and technical competence are selected for supplier selection process in accordance with a detailed literature review and experts’ opinions.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Evaluation and selection of the appropriate supplier is complicated and time consuming decision making process for companies.
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Temel Bulgular & Veri:The proposed model is applied to the electronic signature purchasing process of a firm that operates in banking sector in Turkey.
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Sonuç & Katkı:Quality, purchasing costs, additional costs (maintenance, training, and update costs etc.), security level, compatibility with existing IT infrastructure, after-sales support, and technical competence are selected for supplier selection process in accordance with a detailed literature review and experts’ opinions.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Supply chain management · fuzzy TOPSIS · supplier selection

Abstract

Evaluation and selection of the appropriate supplier is complicated and time consuming decision making process for companies. Selection of inappropriate supplier leds to higher cost and it influences negatively business process of companies in competitive environment. In this paper, fuzzy-TOPSIS method, considering combination of quantitative and qualitative evaluation criteria, is presented to select appropriate supplier under uncertain environment. The proposed model is applied to the electronic signature purchasing process of a firm that operates in banking sector in Turkey. Quality, purchasing costs, additional costs (maintenance, training, and update costs etc.), security level, compatibility with existing IT infrastructure, after-sales support, and technical competence are selected for supplier selection process in accordance with a detailed literature review and experts’ opinions.

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Bu Makaleye Atıf Yap

AYVAZ, B., BOLTÜRK, E., KAÇTIOĞLU, S. (2015). SUPPLIER SELECTION WITH TOPSIS METHOD IN FUZZY ENVIRONMENT: AN APPLICATION IN BANKING SECTOR. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 33 - Sayı: 3, 351–362. https://ajindex.com/articles/419383

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Kaynakça (16)

  1. J.Sarkis, S. Talluri. A model for strategic supplier selection. Journal of Supply Chain Management, 38, 1: 18–28, 2002
  2. S.H. Huang, H. Keskar. Comprehensive and Configurable Metrics for Supplier Selection. International Journal of Production Economics, 105, 510-52, 2007
  3. G.W. Dickson. An Analysis of Vendor Selection Systems and Decisions. Journal of Purchasing, 2, 5-17,1966
  4. S.H. Huang, H. Keskar. Comprehensive and Configurable Metrics for Supplier Selection. International Journal of Production Economics, 105, 510-52, 2007
  5. C.A. Weber, J.R. Current, W.C. Benton. Vendor Selection Criteria and Methods. European Journal of Operational Research, 50, 2–18, 1991
  6. S.E. Fawcet, L.L. Stanley. S.R. Smith, Developing A Logistics Capability to Improve the Performance of International Operations. Journal of Business Logistic, 18 (2), 101–127, 1997
  7. S.H. Ghodsypour, C. O’Brien. A Decision Support System for Supplier Selection using an Integrated Analytic Hierarchy Process and Linear Programming. International Journal of Production Economics, 56- 57,199-212, 1998
  8. D. Çelebi, D. Bayraktar. An Integrated Neural Network and Data Envelopment Analysis for Supplier Evaluation Under Incomplete Information. Expert Systems with Applications, 35, 1698–1710, 2008
  9. A.S. Jadhav, R.M. Sonar. Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach. The Journal of Systems and Software, 84, 1394–1407, 2011
  10. B. Baki, K. Çakar. Determining the ERP package-selecting criteria: the case of Turkish manufacturing companies. Business Process Management Journal, 11 (1), 75–86, 2005
  11. J. Otamendi, J.M. Pastor, A. Garcia. Selection of the simulation software for the managementbof the operations at an international airport. Simulation Modelling Practice and Theory, 16, 1103–1112, 2008
  12. C.T. Lin, C.B. Chen, Y.C. Ting. An ERP model for supplier selection in electronics industry. Expert Systems with Applications, 38, 1760–1765, 2011
  13. C.C. Wei, C.F. Chien, M.J.J. Wang. An AHP based approach to ERP system selection. International Journal of Production Economics, 96, 47–62, 2005
  14. E.E. Karsak, C.O. Özogul. An integrated decision making approach for ERP system selection. Expert Systems with Applications, 36(1),660-667,2009
  15. Liang, C., & Li, Q. Enterprise information system project selection with regard to BOCR. International Journal of Project Management, 26(8), 810-820, 2008
  16. H.R.Yazgan,