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Fuzzy AHP–GOAL Programming Approach for a Supplier Selection Problem

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Języki publikacji
EN
Abstrakty
EN
This paper presents an integrated evaluation approach for decision support enabling effective supplier selection and ordering processes in textile industry. The integrated evaluation method in this study includes two phases that consist of fuzzy AHP and goal programming approaches. Supplier evaluation and selection is a multi-criterion decision problem which includes both qualitative and quantitative factors. That’s why; firstly, linguistic variables expressed in trapezoidal fuzzy numbers are applied to assess weights and ratings of supplier selection criteria. Then a hierarchy multiple model based on fuzzy set theory is expressed and the geometric mean method of Buckley is used to aggregate pair wise comparisons. Finally, a goal programming model is built using the goals about coefficients of suppliers, total ordering cost, number of wrong deliveries, total delivery cost under the constraints of required minimum and maximum number of orderings and acceptable quality cost levels of each supplier and demand constraint of the product.
Słowa kluczowe
Rocznik
Strony
271--285
Opis fizyczny
Bibliogr. 29 poz., tab.
Twórcy
  • Istanbul Technical University, Faculty of Management, Department of Management Engineering, Istanbul, Turkey
autor
  • Istanbul Technical University, Faculty of Management, Department of Management Engineering, Istanbul, Turkey
autor
  • Istanbul Technical University, Faculty of Management, Department of Management Engineering, Istanbul, Turkey
autor
  • Istanbul Technical University, Faculty of Management, Department of Management Engineering, Istanbul, Turkey
Bibliografia
  • 1. Altinoz, C., Kilduff, P., Winchester Jr., S. C., 2001, “Current issues and methods in supplier selection”, Journal of Textile Institute, Vol. 92, No. 2, pp. 128-141.
  • 2. Bayrak, M. Y., Çelebi, N., Taskin, H.,2007, “A fuzzy approach method for supplier selection”, Production Planning and Control, Vol. 18, No.1, pp. 54-63.
  • 3. Bayraktar, D., Cebi, F., 2003, “Supplier selection using analytical hierarchy process”, In Proceedings of PICMET’03. Portland, Oregon, USA, 20-24 July.
  • 4. Buckley, J. J., 1985, Fuzzy hierarchical analysis, Fuzzy Sets and Systems, Vol. 17, pp. 233-247.
  • 5. Buckley, J. J., Feuring, T.,Hayashi, Y., 2001, “Fuzzy hierarchical analysis revisited”, European Journal of Operational Research,Vol. 129, pp. 48-64.
  • 6. Cakravastia, A.,Takahashi, K.,2004, “Integrated model for supplier selection and negotiation in a make-to-order environment”, International Journal of Production Research, Vol. 42, No.21, pp. 4457-4474.
  • 7. Cebeci, U., 2009, “Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard”, Expert Systems with Applications, Vol. 36, pp. 8900-8909.
  • 8. Cebi, S., Kahraman, C., 2010, “Developing a group decision support system based on fuzzy information axiom”, Knowledge Based Systems, Vol. 23, pp. 3-6.
  • 9. Chan, F. T. S.,2003, “Interactive selection model for supplier selection process: an analytical hierarchy process approach”, International Journal of Production Research, Vol. 4, No.15, pp. 3549-3579.
  • 10. Chan, F. T. S., Kumar, N., 2007, “Global supplier development considering risk factors using fuzzy extended AHP-based approach”, Omega: The International Journal of Management Science, Vol. 35, pp. 417-431.
  • 11. Chang, D. Y., 1996, “Applications of the extent analysis method on fuzzy AHP”, European Journal of Operational Research, Vol. 95, pp. 649-655.
  • 12. Chen, T. C., Lin, C. T., Huang, S. F., 2006, “A fuzzy approach for supplier evaluation and selection in supply chain management”, International Journal of Production Economics, Vol. 102, pp. 289-301.
  • 13. de Boer, L., Labro, E., Morlacchi, P., 2001, A review of methods supporting supplier selection, European Journal of Purchasing & Supply Management, Vol. 7, pp. 75-89.
  • 14. Ding, H., Benyoucef, L., Xie, X., 2005, “A simulation optimization methodology for supplier selection problem”, International Journal of Computer Integrated Manufacturing, Vol. 18, No. 2, pp. 210-224.
  • 15. Gencer, C., Gurpinar, D., 2007, “Analytic network process in supplier selection: a case study in an electronic firm”, Applied Mathematical Modeling, Vol. 31, pp. 2475-2486.
  • 16. Ghodsypour, S. H., O’Brien, C., 1998, “Decision support system for supplier selection using an integrated analytic hierarchy process and linear programming”, International Journal of Production Economics, Vol. 56, No. 57, pp. 199-212.
  • 17. Guneri, A. F., Yucel, A., Ayyildiz, G., 2009, “An integrated fuzzy-lp approach for a supplier selection problem in supply chain management”, Expert Systems with Applications, Vol. 36, pp. 9223-9228.
  • 18. Huang, S. H., Keskar, H., 2007, “Comprehensive and configurable metrics for supplier selection”, International Journal of Production Economics, Vol. 105, pp. 510-523.
  • 19. Kokangul, A., Susuz, Z., 2009, “Integrated analytical hierarch process and mathematical programming to supplier selection problem with quantity discount”, Applied Mathematical Modeling, Vol. 33, pp. 1417-1429.
  • 20. Kuo, R. J., Hong, S. Y., Huang, Y. C., 2010, “Integration of particle swarm optimization based-fuzzy neural network and artificial neural network for supplier selection”, Applied Mathematical Modeling, Vol. 34, pp. 3976-3990.
  • 21. Lee, A. H. I., Kang, H. Y., Chang, C. T., 2009, “Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers”, Expert Systems with Applications, Vol. 36, pp. 6318-6325.
  • 22. Liao, C. N., Kao, H. P., 2010, “Supplier selection model using Taguchi loss function analytical hierarchical process and multi-choice goal programming”, Computers and Industrial Engineering, Vol. 58, pp. 571-577.
  • 23. Ravindran, A. R., Ufuk B., R. , Wadhwa, V., Yang, T., 2010, “Risk adjusted multicriteria supplier selection models with applications”, International Journal of Production Research, Vol. 48, No.2, pp. 405-424.
  • 24. Sen, C. G., Sen, S., Basligil, H., 2009, “Pre-selection of suppliers through an integrated fuzzy analytic hierarchy process and max-min methodology”, International Journal of Production Research, Vol. 48, No. 6, pp. 1603-1625.
  • 25. Sevkli, M.,2009, “An application of the fuzzy ELECTRE method for supplier selection”, International Journal of Production Research, Vol. 48, No. 12, pp. 3393-3405.
  • 26. Sevkli, M., Koh, S. C. L., Zaim, S., Demirbağ, M., Tatoglu, E.,2007, An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey, International Journal of Production Research, Vol. 45, No. 9, pp. 1973-2003.
  • 27. van Laarhoven, P. J. M., Pedrycz, M., 1983, “A fuzzy extension of Saaty’s priority theory, Fuzzy Sets and Systems”, Vol. 11, No. 1-3, pp. 229-241.
  • 28. Wang, Y. M., Elhag, T. M. S., Hua, Z. S., 2006, “A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process”, Fuzzy Sets and Systems, Vol.157, pp. 3055-3071.
  • 29. Wang, G., Huang, S. H., Dismukes, J. P., 2004, “Product-driven supply chain selection using integrated multi-criteria decision-making methodology”, International Journal of Production Economics, Vol. 91, pp. 1-15.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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