Araştırma Makalesi
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Yıl 2016, Cilt: 16 Sayı: 1, 85 - 101, 25.04.2016

Öz

Kaynakça

  • Ali-Mohammad, A., Mahdi, B. & Zahra, A. (2010). The critical path definition with fuzzy multi criteria decision making, IEEE Xplore-Computer and Automation Engineering (ICCAE), e 2nd International Conference on, 5, 206-210.
  • Aragonés-Beltrán, P., Chaparro-González, F., Pastor- Ferrando, J. P. & Pla-Rubio, A. (2014). An AHP (Analytic Hierarchy Process)/ANP (Analytic Net- work Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy.1-17. http://dx.doi. org/10.1016/j.energy.2013.12.016
  • Azizi, H. (2013). A note on “A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscriminatory factors”. Annals of Operations Research, 211(1), 49-54. DOI 10.1007/s10479-013-1486-1
  • Bevilacqua, M., Ciarapica, F.E. & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection, J. Purch. Supply Manage, 12 (1), 14–27. doi:10.1016/j. pursup.2006.02.001
  • Büyüközkan, G. & Çi çi, G. (2012). A novel hybrid MCDM approach based on fuzzy dematel, fuzzy anp and fuzzy topsis to evaluate green suppliers, Expert Systems with Applications, 39(3), 3000– 3011, doi:10.1016/j.eswa.2011.08.162
  • Chan, F. T. S.& Kumar, N. (2007). Global supplier developmnet considering risk factors using fuzzy ex- tended AHP-based approach, Omega, 35(4), 417- 431.
  • Chen J. K., Chen I. S. (2008). A Method for Promoting Vision in Secondary Schools: A Novel Hybrid Mo- del based on Fuzzy AHP and TOPSIS, Journal of Global Business Issues, 2(2), 83-94.
  • Chou, S.Y. & Chang, Y.-H. (2008). A decision support system for supplier selection based on a strategy- aligned fuzzy SMART approach, Expert Syst. Appl. 34 (4), 2241–2253. doi:10.1016/j.eswa.2007.03.001
  • Cristóbal, J.R. San (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: the Vikor method, Renewable Energy, 36(2), 498-502.
  • Dağdeviren, M., Dönmez, N., Kurt, M. (2006). Bir işletmede tedarikçi değerlendirme süreci için yeni bir model tasarımı ve uygulaması, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 21(2), 247-255.
  • Dağdeviren, M. (2007). Bulanık Analitik Hiyerarşi Prosesi ile Personel Seçimi ve Bir Uygulama, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 22(4), 791-799.
  • Dalalah, D., Hayajneh, M. & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Syst. Appl, 38 (7), 8384–8391. doi:10.1016/j.eswa.2011.01.031
  • Deng, X., Hu, Y., Deng, Y. & Mahadevan, S. (2014). Supplier selection using AHP methodology extended by D numbers, Expert Systems with Applications,41(1), 156-167.
  • Devi, K., (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection, Expert Systems with Applications, 38(11), 14163- 14168.
  • Dey S., Kumar, A., Ray, A. & Pradhan, B. B. (2012). Supplier Selection: Integrated eory using DE- MATEL and Quality Function Deployment methodology, Procedia Engineering 38, 2111–2116. doi: 10.1016/j.proeng.2012.06.253.
  • Dickson, G. W. (1996). An analysis of vendor selection systems and decisions, Journal of Purchasing 2(1): 5-17.
  • Fazlollahtabar, H., Mahdavi, I., Ashoori, M.T., Kaviani, S., Mahdavi-Amiri, N. (2011). A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market, e International Journal of Advanced Manufacturing Technology, 52, 1039-1052.
  • Gencer, C., Gürpınar, D. (2007). Analytic network process in supplier selection: A case study in an electronic firm, Applied Mathematical Modelling, 31(11), 2475-2486.
  • Girubha, J., Vinodh, S. (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component, Materials & Design, 37, 478-486.
  • Ghodsypour, S. H., O‘Brien, C. A, (1998). Decision support system for supplier selection using an integrated analytical hierarchy process and linear programming, International Journal of Production Economics, 56–57, 199–212.
  • Güneri, A. F., Cengiz, M., Seker, S. (2009). A fuzzy ANP approach to shipyard location selection. Expert Systems with Applications, 36, 7992–7999. doi:10.1016/j.eswa.2008.10.059
  • Ha, S.H., Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain, Expert Syst. Appl. 34 (2), 1303– 1311. doi:10.1016/j.eswa.2006.12.008
  • Hus, T. H., Nian, S. H. (1997). Interactive fuzzy decision aided systems-a case on public transportation system operations, Journal of Transportation Taiwan, 10(4), 79-96.
  • Ivanović, I., Grujičić, D., Macura, D., Jović, J., Bojović, N. (2013). One approach for road transport project selection. Transport Policy, 25, 22-29. http://dx.doi. org/10.1016/j.tranpol.2012.10.001
  • Jadidi, O., Zolfaghari, S., Cavalieri, S. (2014). A new normalized goal programming model for multi- objective problems: A case of supplier selection and order allocation. International Journal of Production Economics, 148, 158-165. http://dx.doi. org/10.1016/j.ijpe.2013.10.005
  • Kabak, M., Dağdeviren, M. (2014). Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology. Energy Conversion and Management, 79, 25-33. http://dx.doi. org/10.1016/j.enconman.2013.11.036
  • Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47 (2013) 355-367, http:// dx.doi.org/10.1016/j.jclepro.2013.02.010
  • Kannan, D., Jabbour, A. B. L. D. S., Jabbour, C. J. C. (2014a). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research,233(2), 432-447. http://dx.doi. org/10.1016/j.ejor.2013.07.023
  • Kannan, D., Kannan, G., Rajendran, S. (2014b). Fuzzy Axiomatic Design Approach based Green Supplier Selection: A Case Study from Singapore. Journal of Cleaner Production,1-15, http://dx.doi. org/10.1016/j.jclepro.2013.12.076
  • Karimi, H., Rezaeinia, A. (2014). Supplier selection using revised multi-segment goal programming model. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1227-1234. DOI 10.1007/s00170-013-5368-0
  • Kilic, H. S. (2013). An integrated approach for supplier selection in multi-item/multi-supplier environment. Applied Mathematical Modelling, 37(14), 7752-7763.
  • Kumar, S. (2014). A Comprehensive Environment Friendly Approach For Supplier Selection. Omega. Internatıonal Journal of Management Science, 42(1), 109-123. http://dx.doi.org/10.1016/j.omega.2013.04.003
  • Kuo, M.-S., Liang, G.(2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment, Expert Systems with Applications, 38(3), 304-1312.
  • Lang, T. M., Chiang, J. H., Lan, L.W., (2009), Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral, Computers & Industrial Engineering, 57, 330–340.
  • Liao, C-.N., Kao, H-.P. (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain Management, Expert Syst. Appl. 38 (9), 10803–10811. doi:10.1016/j.eswa.2011.02.031
  • Lin, C. T., Chen, C. B., Ting, Y. C. (2011). An ERP model for supplier selection in electronics industry, Expert Systems with Applications, 38, 1760–1765.
  • Liou, J.J.H., Chuang, Y.T.(2010). Developing a Hybrid Multi-Criteria Model for Selection of Outsourcing Providers, Expert Systems with Applications, 37, 3755-3761.
  • Liou, J. J.H., Tsai, C.-Y., Lin, R.-H., Tzeng, G.-H. (2011). A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality, Journal of Air Transport Management, 17(2), 57-61.
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  • Nguyen, H. T., Dawal, S. Z. M., Nukman, Y., Aoyama, H. (2014). A hybrid approach for fuzzy multi-att- ribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41(6), 3078- 3090. http://dx.doi.org/10.1016/j.eswa.2013.10.039
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Tedarikçi Seçiminde Çok Kriterli Karar Verme Yöntemlerinin Kullanılması

Yıl 2016, Cilt: 16 Sayı: 1, 85 - 101, 25.04.2016

Öz

Doğru tedarikçinin seçilmesi, işletmelerin rekabet yeteneğinin artırılmasında ve maliyetlerin azaltılmasında, önemli bir etkiye sahiptir. En uygun tedarikçiyi seçme, bir birlerini etkileyen faktörlerin yer aldığı karmaşık bir problem türüdür. Karar verme sürecinde kalite, fiyat, esneklik ve teknoloji gibi birçok tedarikçinin nitel ve nicel performans göstergeleri dikkate alınmaktadır. Tedarikçilerin güçlü ve zayıf yönleri de tedarikçi seçim sürecinde göz önüne alınması gereken diğer faktörlerdir. Literatürde tedarikçi seçim problemini çözmek için çok sayıda ve farklı çok kriterli karar verme (ÇKKV) yöntemleri önerilmiştir. Bu çalışmada, bir işletme için en uygun tedarikçileri belirlemede bulanık analitik ağ süreci (BAAS) ve VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) yaklaşımına dayanan bütünleşik bir çözüm
modeli geliştirilmiştir. BAAS, karar verme sürecinde, faktörler arasındaki bağımlılığı ve geri beslemeyi değerlendiren, nicel ve nitel kriterleri dikkate alabilen ÇKKV yöntemlerinden birisidir. Karar verme modelinin kriterleri ve karar ağı yapısı literatür taramasından elde edilen veriler ve uzman kişilerin görüşleri dikkate alınarak belirlenmiştir. Önerilen modelin kriter önem ağırlıkları BAAS ile seçeneklerin sıralanması ise VIKOR ile belirlenmiştir.

Kaynakça

  • Ali-Mohammad, A., Mahdi, B. & Zahra, A. (2010). The critical path definition with fuzzy multi criteria decision making, IEEE Xplore-Computer and Automation Engineering (ICCAE), e 2nd International Conference on, 5, 206-210.
  • Aragonés-Beltrán, P., Chaparro-González, F., Pastor- Ferrando, J. P. & Pla-Rubio, A. (2014). An AHP (Analytic Hierarchy Process)/ANP (Analytic Net- work Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy.1-17. http://dx.doi. org/10.1016/j.energy.2013.12.016
  • Azizi, H. (2013). A note on “A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscriminatory factors”. Annals of Operations Research, 211(1), 49-54. DOI 10.1007/s10479-013-1486-1
  • Bevilacqua, M., Ciarapica, F.E. & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection, J. Purch. Supply Manage, 12 (1), 14–27. doi:10.1016/j. pursup.2006.02.001
  • Büyüközkan, G. & Çi çi, G. (2012). A novel hybrid MCDM approach based on fuzzy dematel, fuzzy anp and fuzzy topsis to evaluate green suppliers, Expert Systems with Applications, 39(3), 3000– 3011, doi:10.1016/j.eswa.2011.08.162
  • Chan, F. T. S.& Kumar, N. (2007). Global supplier developmnet considering risk factors using fuzzy ex- tended AHP-based approach, Omega, 35(4), 417- 431.
  • Chen J. K., Chen I. S. (2008). A Method for Promoting Vision in Secondary Schools: A Novel Hybrid Mo- del based on Fuzzy AHP and TOPSIS, Journal of Global Business Issues, 2(2), 83-94.
  • Chou, S.Y. & Chang, Y.-H. (2008). A decision support system for supplier selection based on a strategy- aligned fuzzy SMART approach, Expert Syst. Appl. 34 (4), 2241–2253. doi:10.1016/j.eswa.2007.03.001
  • Cristóbal, J.R. San (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: the Vikor method, Renewable Energy, 36(2), 498-502.
  • Dağdeviren, M., Dönmez, N., Kurt, M. (2006). Bir işletmede tedarikçi değerlendirme süreci için yeni bir model tasarımı ve uygulaması, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 21(2), 247-255.
  • Dağdeviren, M. (2007). Bulanık Analitik Hiyerarşi Prosesi ile Personel Seçimi ve Bir Uygulama, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 22(4), 791-799.
  • Dalalah, D., Hayajneh, M. & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Syst. Appl, 38 (7), 8384–8391. doi:10.1016/j.eswa.2011.01.031
  • Deng, X., Hu, Y., Deng, Y. & Mahadevan, S. (2014). Supplier selection using AHP methodology extended by D numbers, Expert Systems with Applications,41(1), 156-167.
  • Devi, K., (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection, Expert Systems with Applications, 38(11), 14163- 14168.
  • Dey S., Kumar, A., Ray, A. & Pradhan, B. B. (2012). Supplier Selection: Integrated eory using DE- MATEL and Quality Function Deployment methodology, Procedia Engineering 38, 2111–2116. doi: 10.1016/j.proeng.2012.06.253.
  • Dickson, G. W. (1996). An analysis of vendor selection systems and decisions, Journal of Purchasing 2(1): 5-17.
  • Fazlollahtabar, H., Mahdavi, I., Ashoori, M.T., Kaviani, S., Mahdavi-Amiri, N. (2011). A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market, e International Journal of Advanced Manufacturing Technology, 52, 1039-1052.
  • Gencer, C., Gürpınar, D. (2007). Analytic network process in supplier selection: A case study in an electronic firm, Applied Mathematical Modelling, 31(11), 2475-2486.
  • Girubha, J., Vinodh, S. (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component, Materials & Design, 37, 478-486.
  • Ghodsypour, S. H., O‘Brien, C. A, (1998). Decision support system for supplier selection using an integrated analytical hierarchy process and linear programming, International Journal of Production Economics, 56–57, 199–212.
  • Güneri, A. F., Cengiz, M., Seker, S. (2009). A fuzzy ANP approach to shipyard location selection. Expert Systems with Applications, 36, 7992–7999. doi:10.1016/j.eswa.2008.10.059
  • Ha, S.H., Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain, Expert Syst. Appl. 34 (2), 1303– 1311. doi:10.1016/j.eswa.2006.12.008
  • Hus, T. H., Nian, S. H. (1997). Interactive fuzzy decision aided systems-a case on public transportation system operations, Journal of Transportation Taiwan, 10(4), 79-96.
  • Ivanović, I., Grujičić, D., Macura, D., Jović, J., Bojović, N. (2013). One approach for road transport project selection. Transport Policy, 25, 22-29. http://dx.doi. org/10.1016/j.tranpol.2012.10.001
  • Jadidi, O., Zolfaghari, S., Cavalieri, S. (2014). A new normalized goal programming model for multi- objective problems: A case of supplier selection and order allocation. International Journal of Production Economics, 148, 158-165. http://dx.doi. org/10.1016/j.ijpe.2013.10.005
  • Kabak, M., Dağdeviren, M. (2014). Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology. Energy Conversion and Management, 79, 25-33. http://dx.doi. org/10.1016/j.enconman.2013.11.036
  • Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47 (2013) 355-367, http:// dx.doi.org/10.1016/j.jclepro.2013.02.010
  • Kannan, D., Jabbour, A. B. L. D. S., Jabbour, C. J. C. (2014a). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research,233(2), 432-447. http://dx.doi. org/10.1016/j.ejor.2013.07.023
  • Kannan, D., Kannan, G., Rajendran, S. (2014b). Fuzzy Axiomatic Design Approach based Green Supplier Selection: A Case Study from Singapore. Journal of Cleaner Production,1-15, http://dx.doi. org/10.1016/j.jclepro.2013.12.076
  • Karimi, H., Rezaeinia, A. (2014). Supplier selection using revised multi-segment goal programming model. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1227-1234. DOI 10.1007/s00170-013-5368-0
  • Kilic, H. S. (2013). An integrated approach for supplier selection in multi-item/multi-supplier environment. Applied Mathematical Modelling, 37(14), 7752-7763.
  • Kumar, S. (2014). A Comprehensive Environment Friendly Approach For Supplier Selection. Omega. Internatıonal Journal of Management Science, 42(1), 109-123. http://dx.doi.org/10.1016/j.omega.2013.04.003
  • Kuo, M.-S., Liang, G.(2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment, Expert Systems with Applications, 38(3), 304-1312.
  • Lang, T. M., Chiang, J. H., Lan, L.W., (2009), Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral, Computers & Industrial Engineering, 57, 330–340.
  • Liao, C-.N., Kao, H-.P. (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain Management, Expert Syst. Appl. 38 (9), 10803–10811. doi:10.1016/j.eswa.2011.02.031
  • Lin, C. T., Chen, C. B., Ting, Y. C. (2011). An ERP model for supplier selection in electronics industry, Expert Systems with Applications, 38, 1760–1765.
  • Liou, J.J.H., Chuang, Y.T.(2010). Developing a Hybrid Multi-Criteria Model for Selection of Outsourcing Providers, Expert Systems with Applications, 37, 3755-3761.
  • Liou, J. J.H., Tsai, C.-Y., Lin, R.-H., Tzeng, G.-H. (2011). A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality, Journal of Air Transport Management, 17(2), 57-61.
  • Lious, T. S., Wang, M. J. J. (1992). Ranking fuzzy numbers with integral value, Fuzzy sets and systems, 50(3), 247-255.
  • Nguyen, H. T., Dawal, S. Z. M., Nukman, Y., Aoyama, H. (2014). A hybrid approach for fuzzy multi-att- ribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41(6), 3078- 3090. http://dx.doi.org/10.1016/j.eswa.2013.10.039
  • Opricovic, S., Tzeng, G. H. (2004). Compromise Solu- tion by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS, European Journal of Operational Research 156(2), 445-455. doi:10.1016/ S0377-2217(03)00020-1
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  • Saaty, T. L. (2001). Decision Making with Dependence and Feedback, the Analytic Network Process, RWS Publications, Pittsburg.
  • Saen, R. F. (2010). Developing a new data envelopment analysis methodology for supplier selection in the presence of both undesirable outputs and imprecise data. the International Journal of Advanced Manufacturing Technology, 51(9-12), 1243-1250. DOI 10.1007/s00170-010-2694-3
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Toplam 71 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Yrd. Doç. Dr. Aşır Özbek

Yayımlanma Tarihi 25 Nisan 2016
Gönderilme Tarihi 25 Nisan 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 16 Sayı: 1

Kaynak Göster

APA Özbek, Y. D. D. A. (2016). Tedarikçi Seçiminde Çok Kriterli Karar Verme Yöntemlerinin Kullanılması. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 16(1), 85-101.