THE USE OF ANP METHOD BASED ON BOCR CRITERIA FOR 3PL PROVIDER SELECTION

Yıl 2014, Cilt: 3 Sayı: 1, 33 - 44, 17.03.2014

Nihal Erginel , Sevil Şentürk , Yonca Binici

https://doi.org/10.20290/btdb.61937

Öz

Firm's logistic operations appears for cost and competition as crucial factor in globalizing world. 3PL provider selection is gained importance for firms that doing logistic operations by the help of 3PL firms. In 3PL provider selection, a lot of criteria should be considered by decision makers. Also, the problem is defined as “Multi-Criteria Decision Making" problem because of the existence of the relationship between criteria. In this study, ANP method based on BOCR criteria defined benefits, opportunities, costs and risk criteria is used. Sub-criteria and relationships are determined by experts' participation and literature. At the same time, alternatives are ranked and a new method considered  lti-criteria is offered to decision makers.

Anahtar Kelimeler

Analitik Network Process, BOCR, 3PL provider selection

3PL FİRMA SEÇİMİNDE BOCR ÖLÇÜTLERİNİ TEMEL ALAN ANP YÖNTEMİNİN KULLANIMI

Öz

Firmaların lojistik operasyonları, globalleşen dünyada maliyet ve rekabet açısından önemli bir unsur olarak ortaya çıkmaktadır. Lojistik işlemlerini 3PL firmalarından destek alarak yapan firmalar için, 3PL firma seçimi önem kazanmaktadır. 3PL firma seçiminde pek çok ölçütün karar vericiler açısından göz önüne alınması gerekmektedir. Aynı zamanda ölçütler arasındaki ilişkilerin varlığı da problemi bir “Çok Ölçütlü Karar Verme” problemi haline getirmektedir. Bu çalışmada fayda, fırsat, maliyet ve risk ölçütleri olarak tanımlanan BOCR ölçütlerini temel alan ANP yöntemi kullanılmış, alt ölçütler ve ilişkiler de uzman kişilerin katılımı ile ve literatür katkıları sayesinde belirlenmiştir. Aynı zamanda alternatiflerin sıralaması yapılmış ve karar vericilere pek çok ölçütü dikkate alabilecekleri bir yöntem sunulmuştur

Anahtar Kelimeler

Analitik Ağ Süreci, BOCR, 3PL firma seçimi

Kaynakça

• Ashenbaum, B., Maltz, A. ve Rabinovich,,E. (2005). Studies of Trends in Third-Party Logistics Usage: What can we conclude?, Transportation Journal, 44(3), 44-55.
• Çelebi,D. Bayraktar,D.ve Bingöl, L. (2010). Analytical Network Process for Logistics Management: A Case Study in a Small Electronic Appliances Manufacturer, Computers & Industrial Engineering, 58, 432–441.
• Dağdeviren M. (2005). Performans Değerlendirme Sürecinin Çok Ölçütlü Karar Verme Yöntemleri ile Bütünleşik Modellenmesi, Doktora Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü.
• Fu,K, Xu,J, Zhang,Q ve Miao, Z. (2010). An AHP-Based Decision Support Model for 3PL Evaluation, IEEE, Service Systems and Service Management (ICSSSM).
• Göl, H ve Çatay, B. (2007). Third-Party Logistics Provider Selection: Insights from a Turkish Automotive Company. Supply Chain Management: An International Journal, 12(6), 379-384.
• Guoyi, X ve Xiaouhua, C. (2011) . Research on The Third Party Logistics Supplier Selection Evaluation Based on AHP and Entropy. International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), China.
• Huo, H ve Wei, Z. (2008a). Grey Multi-Hierarchical Evaluation of Third Party Logistics Providers in The Environment of Supply Chain. IEEE, Wireless Communications, Networking and Mobile Computing, 1-4.
• Huo, H. ve Wei, Z. (2008b). Selection of Third Party Logistics Providers Based on Modified Grey Multi-Hierarchical Evaluation Method. Control and Decision Conference, China, 2363-2368.
• Jharkharia, S. ve Shankar, R. (2007). “Selection of Logistics Service Provider: An Analytic Network Process (ANP) Approach. The International Journal of Management Science, 35 (3), 274–289.
• Karagül, H. ve Albayrakoğlu, M. M. (2007). Selecting a Third-Party Logistics Provider for an Automotive Company: An Analytic Hierarchy Process Model. The International Symposium on The Analytic Hierarchy Process (ISAHP), Chile.
• Liou, J.J:H. ve Chuang, Y.T. (2009). Developing a Hybrid Multi-Criteria Model for Selection of Outsourcing Providers. Expert Systems with Applications. 37, 3755–3761.
• Meade, L. ve Sarkis, J. (2002). A Conceptual Model for Selecting and Evaluating Third-Party Reverse Logistics Providers. Supply Chain Management: An International Journal. 7 (5), 283-295.
• Qureshi, M. N Kumar, D. ve Kumar P. (2007). Selection of Potential 3PL Services Providers using TOPSIS with Interval Data. Proceeding of 2007 IEEE-IEEM , 1512-1516.
• Ravi, V. (2012) . Selection of Third-Party Reverse Logistics Providers for End-of-Life Computers using TOPSIS-AHP Based Approach. International Journal of Logistics Systems and Management. 11(1), 24-37.
• Saaty, T.L.(1980). The Analytic Hierarchy Process, McGraw-Hill, New York.
• Saaty, T.L.(2001). The Analytic Network Process, Fundamentals of Decision Making and Priority Theory (2nd ed.) RWS Publications, Pittsburgh.
• Saaty, T.L.(1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh.
• Thakkar,J. Deshmukh, S.G. Gupta, A.D ve Shankar , R. (2005). Selection of Third-Party Logistics: A Hybrid Approach using Interpretive Structural Modelling (ISM) and Analytic Network Process (ANP). Supply Chain Management: an International Journal. 6(1), 32-46.
• Vijayvargiya, A. ve Dey, A.K. (2010). An Analytical Approach for Selection of a Logistics Provider. Management Decision. 48(3), 403 – 418.
• Xiangru, M. (2008) . Study of Evaluation and Selection on Third Party Reverse Logistics Providers. International Seminar on Business and Information Management, ISBIM '08. 518 – 521.
• Zhang ,H., Li,X., Liu, W., Li, B. ve Zhang, Z. (2004). An Application of the AHP in 3PL Vendor Selection of a 4PL System. IEEE International Conference on Systems, Man and Cybernetics, 1255–1260.