SavedAdd your journal

Journals / İşletme ve Ekonomi Araştırmaları Dergisi / 2012 / Cilt: 3 - Sayı: 3

Subcontractor Selection Using Analytic Hierarchy Process

Vesile Sinem ARIKAN KARGI
Ahmet ÖZTÜRK
Pages
121–143
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, these results were analyzed for the firm’s decision makers

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Turkish textile firms work under a heavily competitive atmosphere in terms of prices due to globalization.
📊
Key Findings & Data:Firms have to take into consideration several criteria like cost, quality and delivery-on-time in order to survive the global market conditions and to maintain profitability.
💡
Conclusion & Impact:In addition, these results were analyzed for the firm’s decision makers
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Turkish textile firms work under a heavily competitive atmosphere in terms of prices due to globalization. Firms have to take into consideration several criteria like cost, quality and delivery-on-time in order to survive the global market conditions and to maintain profitability. To meet these criteria, contractor companies have to select the best subcontractor. Therefore, the selection of subcontractor for the contractor company is a problem. The aim of this study is to solve the problem of Yeşim Textile, a contractor company, about the selection of the best subcontractor for its customer Nike. To solve the problem, firstly, the main criteria and relevant sub-criteria, which are of importance for Yeşim and Nike, were defined. Then, authorities from the firms were interviewed in order to formulate pairwise comparison matrices using the Saaty’s importance scale. In a sense, this matrix is the model of this study. The model, named AHP, was analyzed using the Expert Choice software. Best subcontractors for Yeşim were determined based on the model results. In addition, these results were analyzed for the firm’s decision makers

🔖

Cite This Article

KARGI, V. S. A., ÖZTÜRK, A. (2022). Subcontractor Selection Using Analytic Hierarchy Process. İşletme ve Ekonomi Araştırmaları Dergisi, Cilt: 3 - Sayı: 3, 121–143. https://ajindex.com/articles/556664

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Al Harbi, K.M. (2001). Application of the AHP in Project Management, International Journal of Project Management, 19(1), 19-27.
  2. Banaitiene, N. &Banaitis, A. (2006). Analysis of Criteria for Contractors Prequalification Evaluation, Technological and Economic Development of Economy, 12(4), 276-282.
  3. Bodin, L. & Gass, S.I. (2003). On Teaching the Analytic Hierarchy Process, Computer and Operations Research, 30(10), 1487-1497.
  4. Doumpos, M., &Zopounidis, C. (2002) Multicriteria Decision Aid Classification Methods, Boston: Kluwer Academic Publishers.
  5. Fong, P. S. W., & Choi, S. K. Y. (2000). Final Contractor Selection Using the AHP, Construction Management and Economics, 18(5), 547-557.
  6. Harker, P.T., &Luis, G.V. (1987). The Theory of Ratio Scale Estimation: Saaty’s Analytic Hierarchy Process, Management Science, 33(11), 1383- 1403. Kumaraswamy, M. M., &Matthews, D., J. (2000). Improved Subcontractors Selection Employing Partnering Principles, Journal of Management in Engineering, 16(3), 47-57.
  7. Levary, R.R. (2008). Using the Analytic Hierarchy Process to Rank Foreign Suppliers Based on Supply Risks, Computer & Industrial Engineering, 55, 535-542.
  8. Niemira, P.M. & Saaty, L.T. (2004). An Analytic Network Process Model for Financial-Crisis Forecasting, International Journal of Forecasting, 20(4), 573-587.
  9. Saaty, L.T. (1988). The Analytic Hierarchy Process: Planning,Priority Setting, Resource Allocation, USA, RWS Publications. Saaty, L.T. (2005). Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs and Risks, USA: RWS Publications. Saaty, L.T., &Vargas, G. L. (2001)
  10. Models, Methods, Concepts&Applications of the Analytic Hierarchy Process, Dordrecht: Kluwer Academic Publishers.
  11. Sarı, B. &Şen, T. & Kılıç S. E.(2008). Ahp Model for the Selection of Partner Companies in Virtual Enterprises, The International Journal of Advanced Manufacturing Technology, 38,367-376.
  12. Sha, D. Y. & Che, Z. H. (2006). Supply Chain Network Design: Partner Selection and Production/distribution Planning Using a Systematic Model. Journal of the Operational Research Society, 57(1), 52–62.
  13. Tomlin, B. (2006). On the Value of Mitigating and Contingency Strategies for Managing Supply Chain Distribution Risks. Management Science, 52(5), 639–657.
  14. Topçu, Y. I. (2003) A Decision Model Proposal for Construction Contractor Selection in Turkey, Building and Environment, 39(4), 469-481.
  15. Wu, B., Chien Chomg Niou Cao, V., XIA, E. (2007, 26-28 June) Assembly Su