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Strateji Tabanlı Tedarikçi Öndeğerlendirme Kriterlerinin Bulanık İlişkisel Haritalar İle Tespiti

Yıl 2016, , 11 - 40, 08.12.2016
https://doi.org/10.17093/aj.2016.4.2.5000185588

Öz

Tedarikçi seçimi, yönetim ve karar bilimlerinde en fazla çalışılmış konulardan olmasına rağmen hala en problemli alanlardan bir tanesidir. Çünkü gerçek hayatta karar vericiler, karar verme sürecinin belirli bir aşamasından sonra hisleriyle hareket etmektedir. Seçim sürecinde meydana gelen problemleri bertaraf etmek için karar vericilerin, sürecin ilk aşaması olan kriter tespitine odaklanması gerekmektedir. Çünkü seçimin kalitesi, sürecin ilk aşamasının kalitesine bağlıdır. Gerek akademik camianın, gerek ise gerçek işletmelerin gözden kaçırdığı bir diğer önemli nokta ise örgütler arası stratejik uyumdur. Tedarikçi karakteristiklerinin örgüt stratejileri ile uyumu, işletmenin başarısı için en önemli faktörlerden bir tanesidir. Dolayısıyla bu çalışma, örgüt stratejileri çerçevesinde önemli olan tedarikçi ön değerlendirme kriterlerini tespit etmeyi amaçlamıştır. Kriterlerin tespiti için Delphi tekniğinin veri toplama süreci uygulanmış, kriterlerin örgüt stratejileri ile ilişkilendirilmesi için ise bulanık ilişkisel haritalar kullanılmıştır. Uygulamada kullanılan veriler, otomotiv endüstrisinde faaliyet gösteren Tier-1 nitelikli global bir işletmeden temin edilmiştir. Elde edilen sonuçlar, strateji tabanlı en önemli kriterlerin işletmelerin örgütsel ve yönetsel karakteristiklerini ölçen kriterler olduğunu göstermiştir. Literatürde ve pratikte çok önemli olarak değerlendirilen maliyet ve fiyat, strateji bağlamında orta seviyede önemli olarak tespit edilmiştir. Dolayısıyla işletmelerin aday tedarikçileri ön değerlendirmeye tabi tutarken çalışanların teknik yeterliliği, sürekli iyileştirme sistemleri ve iletişim yetenekleri gibi kriterlere yoğunlaşması gerekmektedir.

Kaynakça

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  • Azadeh, A., Keramati, A., & Jafary Songhori, M. (2009). An integrated Delphi/VAHP/DEA framework for evaluation of information technology/information system (IT/IS) investments. International Journal of Advanced Manufacturing Technology, 45(11-12), 1233–1251. http://doi.org/10.1007/s00170-009-2047-2
  • Azadi, M., & Saen, R. F. (2012). Supplier selection using a new russell model in the presence of undesirable outputs and stochastic data. Journal of Applied Sciences, 12(4), 336–344. http://doi.org/10.3923/jas.2012.336.344
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  • Chen, P.-S., & Wu, M.-T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers and Industrial Engineering, 66(4), 634–642. http://doi.org/10.1016/j.cie.2013.09.018
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  • Cheraghi, S. H., Dadashzadeh, M., & Subramanian, M. (2011). Critical success factors for supplier selection : An update. Journal of Applied Business Research, 20(2), 91–108.
  • Chou, S. Y., & Chang, Y. H. (2008). A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Systems with Applications, 34(4), 2241–2253. http://doi.org/10.1016/j.eswa.2007.03.001
  • Dalkey, N., & Helmer, O. (1963). An Experimental Application of the DELPHI Method to the Use of Experts. Management Science. http://doi.org/10.1287/mnsc.9.3.458
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  • De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing and Supply Management, 7(2), 75–89. http://doi.org/10.1016/S0969-7012(00)00028-9
  • Degraeve, Z., Labro, E., & Roodhooft, F. (2000). An evaluation of vendor selection models from a total cost of ownership perspective. European Journal of Operational Research. http://doi.org/10.1016/S0377-2217(99)00199-X
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Determining Strategy Based Supplier Pre-Qualification Criteria With Fuzzy Relational Maps

Yıl 2016, , 11 - 40, 08.12.2016
https://doi.org/10.17093/aj.2016.4.2.5000185588

Öz

Supplier Selection is one of the most studied areas in management and decision sciences. However, it is still a highly problematic subject since decision-makers take an educated guess after a certain stage in real life practices. In order to overcome the problems, decision makers should focus their attention on the first stage of the selection process, criteria determination, as the quality of the selection phase heavily depends on the first stage. Additionally, strategic fitness in supplier selection is also not much considered in the literature and real life practices. However, looking for conformity of supplying organizations with corporate strategies of buying organization is crucial for the success and leadership of the buying organization. Therefore, this paper intends to determine the most influential corporate strategy based supplier pre-qualification criteria. Data acquisition phase of the Delphi technique was used for determining criteria and fuzzy relational maps was used for relating criteria with corporate strategies. All data were collected from a global Tier-1 manufacturing company in the automotive industry. The results show that the most important strategy based criteria were mainly about organizational and managerial characteristics of the company. Cost and price, which are considered very important in the literature and in real life practices, were determined as moderately important in strategic context. Companies need to focus their attention on criteria such as technical qualification of employees, continuous improvement systems, and communication abilities when pre-qualifying suppliers.

Kaynakça

  • Aghai, S., Mollaverdi, N., & Sabbagh, M. S. (2014). A fuzzy multi-objective programming model for supplier selection with volume discount and risk criteria. International Journal of Advanced Manufacturing Technology, 71(5-8), 1483–1492. http://doi.org/10.1007/s00170-013-5562-0
  • Aissaoui, N., Haouari, M., & Hassini, E. (2007). Supplier selection and order lot sizing modeling: A review. Computers and Operations Research, 34(12), 3516–3540. http://doi.org/10.1016/j.cor.2006.01.016
  • Alavala, C. R. (2008). Fuzzy logic and neural networks basic concepts & applications. India: New Age International Publishers.
  • Arikan, F. (2013). A fuzzy solution approach for multi objective supplier selection. In Expert Systems with Applications (Vol. 40, pp. 947–952). http://doi.org/10.1016/j.eswa.2012.05.051
  • Azadeh, A., Keramati, A., & Jafary Songhori, M. (2009). An integrated Delphi/VAHP/DEA framework for evaluation of information technology/information system (IT/IS) investments. International Journal of Advanced Manufacturing Technology, 45(11-12), 1233–1251. http://doi.org/10.1007/s00170-009-2047-2
  • Azadi, M., & Saen, R. F. (2012). Supplier selection using a new russell model in the presence of undesirable outputs and stochastic data. Journal of Applied Sciences, 12(4), 336–344. http://doi.org/10.3923/jas.2012.336.344
  • Benyoucef, L., Ding, H., & Xie, X. (2003). Supplier selection problem : selection criteria and methods. Institut National de Recherche En Informatique et En Automatique.
  • Burton, T. T. (1988). JIT/repetitive sourcing strategies: Tying the knot with your suppliers. Production and Inventory Management Journal, 29(4), 38–41.
  • Cao, Y., Luo, X., Kwong, C. K., & Tang, J. (2014). Supplier pre-selection for platform-based products: a multi-objective approach. International Journal of Production Research, 52(1), 1–19. http://doi.org/10.1080/00207543.2013.807376
  • Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3872–3885. http://doi.org/10.1016/j.eswa.2012.12.040
  • Chang, B., Chang, C. W., & Wu, C. H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3), 1850–1858. http://doi.org/10.1016/j.eswa.2010.07.114
  • Chen, P.-S., & Wu, M.-T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers and Industrial Engineering, 66(4), 634–642. http://doi.org/10.1016/j.cie.2013.09.018
  • Chen, Y. H., & Chao, R. J. (2012). Supplier selection using consistent fuzzy preference relations. Expert Systems with Applications, 39(3), 3233–3240. http://doi.org/10.1016/j.eswa.2011.09.010
  • Cheraghi, S. H., Dadashzadeh, M., & Subramanian, M. (2011). Critical success factors for supplier selection : An update. Journal of Applied Business Research, 20(2), 91–108.
  • Chou, S. Y., & Chang, Y. H. (2008). A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Systems with Applications, 34(4), 2241–2253. http://doi.org/10.1016/j.eswa.2007.03.001
  • Dalkey, N., & Helmer, O. (1963). An Experimental Application of the DELPHI Method to the Use of Experts. Management Science. http://doi.org/10.1287/mnsc.9.3.458
  • De Boer, L., Labro, E. e Morlacchi, P. (2001). A review of methods supporting supplier selection, European Journal of Purchasing & Supply Management, 7, 75–89.
  • De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing and Supply Management, 7(2), 75–89. http://doi.org/10.1016/S0969-7012(00)00028-9
  • Degraeve, Z., Labro, E., & Roodhooft, F. (2000). An evaluation of vendor selection models from a total cost of ownership perspective. European Journal of Operational Research. http://doi.org/10.1016/S0377-2217(99)00199-X
  • Ertay, T., Kahveci, A. & Tabanlı, R. M. (2011). An integrated multi-criteria group decision-making approach to efficient supplier selection and clustering using fuzzy preference relations. International Journal of Computer Integrated Manufacturing, 24(12), 1152–1167. http://doi.org/10.1080/0951192X.2011.615342
  • Farughi, H., Azar, S. A., Sadeghi, H., Naseri, F., & Hajebi, S. (2011). Using Multi Criteria Decision Making Models to Evaluate Suppliers in Outsourcing Process of Supply Chain Management ( Case Study : Potential industrial Clusters of Kurdistan ), 5(12), 1999–2009.
  • Fischer, R. G. (1978). The Delphi Method: A Description, Review, and Criticism. Journal of Academic Librarianship.
  • Florez-Lopez, R. (2007). Strategic supplier selection in the added-value perspective: A CI approach. Information Sciences, 177(5), 1169–1179. http://doi.org/10.1016/j.ins.2006.08.009
  • Glykas, M. (2010). Fuzzy Cognitive Maps Advances in Theory, Methodologies, Tools and Applications. (M. Glykas, Ed.). Berlin Heidelberg: Springer. http://doi.org/10.1007/978-3-642-03220-2
  • GURNANI, H., GÜMÜŞ, M., RAY, S., & RAY, T. (2012). Optimal Procurement Strategy Under Supply Risk. Asia-Pacific Journal of Operational Research, 29(01), 1240006. http://doi.org/10.1142/S0217595912400064
  • Hätönen, J., & Ruokonen, M. (2010). Revising marketing strategies for supplier selection criteria: small firm approach from the information and communications industry. Journal of Business & Industrial Marketing, 25(2), 159–167. http://doi.org/10.1108/08858621011017778
  • Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16–24. http://doi.org/10.1016/j.ejor.2009.05.009
  • Igoulalene, I., Benyoucef, L., & Tiwari, M. K. (2015). Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem. Expert Systems with Applications, 42(7), 3342–3346. http://doi.org/10.1016/j.eswa.2014.12.014
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Toplam 74 adet kaynakça vardır.

Ayrıntılar

Bölüm Makaleler
Yazarlar

Gülcan Petriçli

Gül Gökay Emel

Yayımlanma Tarihi 8 Aralık 2016
Gönderilme Tarihi 14 Nisan 2016
Yayımlandığı Sayı Yıl 2016

Kaynak Göster

APA Petriçli, G., & Gökay Emel, G. (2016). Determining Strategy Based Supplier Pre-Qualification Criteria With Fuzzy Relational Maps. Alphanumeric Journal, 4(2), 11-40. https://doi.org/10.17093/aj.2016.4.2.5000185588

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