A SUPPLIER SELECTION MODEL FOR PROJECT PORTFOLIOS

Yıl 2014, Cilt: 32 Sayı: 3, 365 - 380, 01.09.2014

Süleyman Tosun Semih Önüt

Öz

Nowadays, one of the most important subjects for the companies which are profitable and have continuous management principles, is the fact of having targets. The project management discipline which is the most widely used technique to achieve the targets, is continuing its development. The knowledge areas and the processes for that management discipline are detailed in the guide of PMI (Project Management Institute), named as PMBOK (Project Management Body of Knowledge) which is the most popular approach in project management dicipline.
Suppliers are appeared as elements which affect the success of projects in the project management knowledge areas. Having the necessary materials on time, on budget and with the quality desired directly affects project success. Consequently, this is a subject that affects the targets indirectly.
There are a lot of models and techniques in supplier selection. In that point, we aim to have an upper look to the situation with the model offered. For that reason, the relations of the supplier subjects and the relation between the projects and the targets are in a critical chain.
Supplier selection is associated with the targets in the model and it seems the first perspective in the literature with the model introduced. Also, the techniques used in the model are used together for the first time in the literature. For that purpose, Fuzzy ANP, QFD and Pareto Diagram are combined in the model and the solution is found with Linear Programming.

Anahtar Kelimeler

Project management, weighting projects, supplier selection, fuzzy ANP, QFD and pareto

Kaynakça

• [1] Talluri, S., Narasimhan, R., (2004). “A methodology for strategic sourcing”, European Journal of Operational Research, 154(1):236-250.
• [2] PMI 99-001, (2004). Project Management Body of Knowledge, ANSI, 6, Pennslyvania.
• [3] Dickson, G.W., (1966). “An analysis of vendor selection systems and decisions”, Journal of Purchasing 2/1, 5-17.
• [4] Charles, A. W., John, R. C. ve Benton, W. C., (1991). “Vendor selection criteria and methods”, European Journal of Operational Research, 50:2-18.
• [5] Zeger D., Eva, L. ve Filip, R., (1999). “An evaluation of vendor selection models from a total cost of ownership perspective”, European Journal of Operational Research, 125:34-58.
• [6] Luitzen de, B. ve Eva, L. , (2001). “A review of methods supporting supplier selection”, European Journal of Purchasing & Supply Management, 7:75-89.
• [7] William H., Xiaowei, X. ve Prasanta, K., (2010). “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review”, European Journal of Operational Research, 202:16-24.
• [8] Buyukozkan, G., Ertay, T., Kahraman, C. ve Ruan, D., (2004). “Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach”, Internatıonal Journal of Intelligent Systems, 19:443–461.
• [9] Ertay, T., Buyukozkan, G., Kahraman, C. ve Ruan, D., (2005). “Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry”, Journal of Intelligent & Fuzzy Systems, 16:221–232.
• [10] Ramik, J., (2007). “A Decision System Using ANP and Fuzzy Inputs”, International Journal of Innovative Computing, Information and Control, ICIC International, 3(4):825-837.
• [13] Çelik, M., Cebi, S., Kahraman, C., Er, I.D., (2009). “An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market”, Expert Systems with Applications, Volume 36 (3):6227-6235.
• [14] Yoji, A., (1990). Quality Function Deployment Integrating Customer Requirements Into Product Design, Productivity Press, Massachusetts.
• [15] Cohen, L., (1995). QFD: How to Make QFD Work for You, Addison-Wesley Publishing, New York.
• [16] Saaty, T.L., (1999). Fundamentals of the analytic network process , ISAHP Kobe.
• [17] Saaty, T. L. and Vargas, L. G., (1998). “Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process”, Operations Research, Vol 46:491-502.
• [18] Wikipedia, Pareto Diyagramı, http://tr.wikipedia.org/wiki/Pareto_diyagram%C4%B1, 10 Aralık 2013.
• [19] Özcan, S., (2001). “İstatiksel Proses Kontrol Tekniklerinden Pareto Analizi ve Çimento Sanayinde Bir Uygulama”, Cumhuriyet Üniversitesi İktisadi İdari Bilimler Dergisi 2: 153.