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Year 2015, Volume: 3 Issue: 2, 91 - 104, 27.10.2015

Yusuf Şahin Aliye Supçiller

Abstract

Supplier selection is an important activity within the purchasing function. The main objective of supplier selection is to identify high-potential suppliers who meet the firm’s continuity and price effectiveness needs. The right choices about suppliers improve the customer satisfaction and competitiveness while reducing costs. In this study, Analytic Hierarchy Process (AHP), TOPSIS and K-means methods are used to solve supplier selection and evaluation problem. The criteria are weighted using AHP and then these weights are used as input of TOPSIS method. The suppliers ranked according to weighted scores using TOPSIS are divided into subsets with K-means method. Instead of selecting the best supplier, it is aimed to generate the infrastructure to prepare effective procurement plan clustering the suppliers who have similar characteristics by using Kmeans method with AHP and TOPSIS methods

Keywords

AHP TOPSIS K-Means

References

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TEDARİKÇİ SEÇİMİ İÇİN BİR KARAR DESTEK SİSTEMİ

Year 2015, Volume: 3 Issue: 2, 91 - 104, 27.10.2015

Yusuf Şahin Aliye Supçiller

Abstract

Tedarikçi seçimi, satın alma fonksiyonu içerisinde oldukça önemli bir faaliyettir. Tedarikçi seçiminin başlıca amacı, firmanın süreklilik ve fiyat etkinliği ihtiyaçlarını karşılayan yüksek potansiyelli tedarikçilerin belirlenmesidir. Tedarikçiler konusunda yapılacak doğru tercihler satın alma maliyetlerinin azaltırken, müşteri memnuniyeti ve rekabet yeteneğini artırır. Bu çalışmada, tedarikçi seçimi ve değerlendirme probleminin çözümü için Analitik Hiyerarşi Prosesi (AHP), TOPSIS ve K-ortalamalar yöntemleri kullanılmıştır. Değerlendirme kriterlerin ağırlıkları AHP ile belirlenmiş ve bu ağırlıklar TOPSIS yönteminin girdisi olarak kullanılmıştır. TOPSIS ile ağırlıklı puanlarına göre sıralanan tedarikçiler K-ortalamalar yöntemi ile alt kümelere ayrılmıştır. En iyi tedarikçiyi seçmek yerine, K-ortalamalar yönteminin AHP ve TOPSIS yöntemleri ile birlikte kullanımıyla benzer özellikleri olan tedarikçileri kümelendirerek etkin tedarik planlarının hazırlanması hedeflenmiştir.

Keywords

AHP TOPSIS K-Ortalamalar

References

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  • Albayrak, Y. E. ve Erkut, H., 2005. Banka Performans Değerlendirmede Analitik Hiyerarşi Süreç Yaklaşımı. İTÜ Mühendislik Dergisi, 4 (6), 47–58.
  • Aıssaouı, N., Haouarı, M., Hassını, E., 2007. Supplier selection and order lot sizing modeling: A review. Computers & Operations Research, 34, 3516-3540.
  • Athawale, V. M., Chakraborty, S., 2010. A TOPSIS Method-based Approach to Machine Tool Selection. Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, Dhaka, Bangladesh, January 9-10.
  • Azadnia, A.H., Ghadimi, P., Saman, M.Z.M., Wong, K.Y., Sharif, S., 2011. Supplier Selection: A Hybrid Approach Using ELECTRE and Fuzzy Clustering. Informatics Engineering and Information Science Communications in Computer and Information Science, 252, 663-676
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  • Benıtez, J.M., Martın, J.C., Roman,C. 2007. Using Fuzzy Number For measuring Quality Of Service In The Hotel Industry. Tourism Management, 28, 2, 544- 555.
  • Bottani, E., Rizzi, A., 2008. An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction. International Journal of Production Economics, 111, 763–781.
  • Bülbül, S., Köse, A., 2009. Türk Gıda şirketlerinin Finansal Performansını Çok Amaçlı Karar Verme Yöntemleriyle Değerlendirilmesi. 10. Ekonometri ve İstatistik Sempozyumu, Atatürk Üniversitesi, Erzurum, 1-23.
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  • Chen, S.J., Hwang, C.L., (1992), “Fuzzy Multiple Attribute Decision Making: Methods and Applications”, Springer-Verlag, Berlin.
  • Chen, C. T., Lin, C. T., & Huang, S. F. (2006). “A fuzzy approach for supplier evaluation and selection in supply chain management”, International Journal of Production Economics, 102, 2, 289–301.
  • Chen, C. T., Lin, C. T., Huang, S. F. 2006. A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
  • Chu, T.C., Lin, Y.C., 2003. A Fuzzy Topsis Method for Robot Selection. The International Journal of Advanced Manufacturing Technology, 21, 284- 290.
  • Çalişkan, S.K. Ve Soğukpinar, İ., 2008. KxKNN: K-Means ve K En Yakın Komşu Yöntemleri ile Ağlarda Nüfuz Tespiti. 2. Ağ ve Bilgi Güvenliği Sempozyumu, 16- 18 Mayıs, Girne, 120-124.
  • Çetin A.,C., Bitirak, İ. A., (2010), “Banka Karlılık Performansının Analitik Hiyerarşi Süreci İle Değerlendirilmesi: Ticari Bankalar İle Katılım Bankalarında Bir Uygulama. Alanya İşletme Fakültesi Dergisi, 2, 2, 75-92.
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  • Das, C., Tyagi, R., 1994. Wholesaler: a decision support system distribution. International Journal of Physical Distribution and Logistics Management, 24, 10, 4- 12. procurement and ve Homojen Bölgelerin
  • Ghodsypour, S.H., O’brien, C., 2001. The total cost of logistics in Supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraints. International Journal of Production Economics, 73, 15-27.
  • Ghodsypur, S.H., O’brien, C., 1998. 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.
  • Girginer, N., Kaygısız Z., 2009. İstatistiksel Yazılım Seçiminde Analitik Hiyerarşi Süreci ve 0–1 Hedef Programlama Yöntemlerinin Birlikte Kullanımı. Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 10, 1, 211-233.
  • Grando, A., Sianesi, A., 1996. Supply management: a vendor rating assessment. CEMS Business Review, 1, 199-212.
  • Gregory, R.E., 1986. Source selection: a matrix approach. Journal of Purchasing and Materials Management, 22, 2, 24-29.
  • Güner, H., Mutlu, Ö., 2005. Bulanik AHP İle Tedarikçi Seçim Problemi ve Bir Uygulama. V. Ulusal Üretim Araştırmaları Sempozyumu, İstanbul Ticaret Üniversitesi, 25-27 Kasım 2005.
  • Güngör, İ., İşler D.B., 2005. Analitik Hiyerarşi Yaklaşımı ile Otomobil Seçimi. ZKÜ Sosyal Bilimler Dergisi, 1, 2, 21-33.
  • Hinkle, C.L., Robinson, P. J., Green, P. E., 1969. Vendor evaluation using cluster analysis. Journal of Purchasing, 5, 3, 49-58.
  • Ho, W., 2008. Integrated analytic hierarchy process and its applications - A literature review. European Journal of Operational Research, 186, 211-228.
  • Holt, G.D., 1998. Which contractor selection methodology?. International Journal of Project Management, 16, 3, 153-164.
  • Hwang, C.L., Yoon, K., 1981. Multiple Attributes Decision Making Methods and Applications. Springer, Berlin Heidelberg.
  • Ibrahim,O., Nilashi, M., Bagherifard, K., Hashemi, N., Janahmadi, N., Barisam, J., 2011. Application of AHP and K-Means Clustering for Ranking and Classifying Customer Trust in M-commerce. Australian Journal of Basic and Applied Sciences, 5 12, 1441-1457.
  • İç Y.T., Yurdakul, M., 2000. Analitik Hiyerarşi Süreci (AHS) Yöntemini Kullanan Bir Kredi Değerlendirme Sistemi. Gazi Üniversitesi, Mühendislik Mimarlık Fakültesi Dergisi, 15, 1, 1- 14.
  • Jahanshahloo G.R., Hosseinzadeh L.F., Izadikhah, M., (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181, 1, 544–1551.
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There are 89 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

Yusuf Şahin

Aliye Supçiller

Publication Date October 27, 2015
Submission Date October 9, 2015
Published in Issue Year 2015 Volume: 3 Issue: 2

Cite

APA Şahin, Y., & Supçiller, A. (2015). TEDARİKÇİ SEÇİMİ İÇİN BİR KARAR DESTEK SİSTEMİ. Mühendislik Bilimleri Ve Tasarım Dergisi, 3(2), 91-104.
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