Abstract

Business enterprises need to show high performance in their industries in order to achieve a sustainable competition. This is not related only to individual performances, and each link on supply chain may have a considerable effect on business performance. Therefore, supply chain management is quite essential to the enterprises that supplier selection is one of its key elements to be run, and another is establishing the form of packaging before the supplier delivers the ordered raw materials. Raw material costs are influenced by the ability to determine such issues as packaging way, type of case, etc., and these factors are also important to maintain the quality of material. The aim of this study is to select the type of the case for raw materials to be placed in by the supplier, in the automobile industry with very intense competition. In order to solve this multi-criteria decision making problem, the Analytic Hierarchy Process (AHP), one of the multi-criteria decision making techniques, was used. Due to the ambiguity in several paired comparisons, the problem was also resolved using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP).

References

[1] R. Kumar, S. S. Padhi, A. Sarkar, “Supplier Selection of an Indian Heavy LocomotiveManufacturer: An Integrated Approach using Taguchi Loss Function, TOPSIS and AHP”,IIMB Management Review, https://doi.org/10.1016/j.iimb.2018.08.008, 2018
[2] M. Abd el-Basset, G. Manogaran, M. Mohamed, N. Chilamkurti “Three-way decisions based onneutrosophic sets and AHP-QFD framework for supplier selection problem”, FutureGeneration Computer Systems, 89, pp 19-30, 2018
[3] A. Azimifard, S. H. Moosavirad, S. Ariafar “Selecting sustainable supplier countries for Iran’ssteel industry at three levels by using AHP and TOPSIS methods”, Resources Policy 57, pp30-44, 2018
[4] A. Awasthi, K. Govindan, S. Gold “Multi-tier sustainable global supplier selection using a fuzzyAHP-VIKOR based approach” International Journal of Production Economics 195, pp 106-117, 2018
[5] P. Sirisawat, T. Kiatcharoenpol “Fuzzy AHP-TOPSIS approaches to prioritizing solutions forreverse logistic barriers” Computers&Industrial Engineering 117,pp303-318, 2018
[6] S. K. Patil, R. Kant “A fuzzy AHP-TOPSIS framework for ranking the solutions of KnowledgeManagement adoption in Supply Chain to overcome its barriers” Expert Systems withApplications 41, pp 679-693, 2014
[7] M. Dağdeviren, T. Eren “Tedarikçi Firma Seçiminde Analitik Hiyerarşi Prosesi ve 0-1 HedefProgramlama Yöntemlerinin Kullanılması” Gazi Üniv. Müh. Mim. Fak. Der. Cilt 16, No 2,41-52, 2001
[8] S.Soner, S.Önüt “Multi-criteria supplier selection: An Electre-Ahp application” Journal ofEngineering and Natural Sciences-Müh. ve Fen Bilimleri Dergisi-Sigma4, 2006
[9] R. W. Saaty “The Analytic Hierarchy Process – What it is and how it is used” Math Modelling,vol. 9, No 3-5 pp 161-176, 1987
[10] M. S. Yıldız, S. Aksoy “Analitik Hiyerarşi Prosesi ile Personel Seçimi Üzerine bir Çalışma”,AİBÜ Sosyal Bilimler Enstitüsü Dergisi, cilt: 15, sayı: 1, ss 59-83, 2015
[11] B.F. Yıldırım, E. Önder, “İşletmeciler, Mühendisler ve Yöneticiler için Operasyonel, Yönetsel veStratejik Problemlerin Çözümünde Çok Kriterli Karar Verme Yöntemleri”, Dora Yayıncılık,2nd Edition, Printed in Bursa, ISBN: 978-605-9929-44-8
[12] Ş. Gür, M. Hamurcu, T. Eren “Ankara’da Monoray projelerinin analitik hiyerarşi prosesi ve 0-1hedef programalama yöntemleri ile seçimi” Pamukkale Üniversitesi Mühendislik BilimleriDergisi, 23(4), ss 437-443, 2017
[13] H. Çanlı, A.Kandakoğlu, “Hava Gücü Mukayesesi için Bulanık AHP Modeli”, Havacılık veUzay Teknolojileri Dergisi, cilt: 3, sayı: 1, ss 71-82, 2007s
[14] Ö. Aydın “Bulanık AHP ile Ankara için Hastane Yer Seçimi” Dokuz Eylül Üniversitesi İktisadiİdari Bilimler Fakültesi Dergisi, cilt: 24, sayı:2, ss 87-104, 2009
[15] A. Şimşek, O. Catır, N. Ömürbek “Turizm sektöründe bulanık analitik hiyerarşi süreci ilepersonel seçimi” Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi,cilt:XXXIII, sayı: 2, ss 147-169, 2014
[16] D. Kaptanoğlu, A.F. Özok “Akademik Performans Değerlendirmesi için bir Bulanık Model”İTÜ Dergisi – Mühendislik, cilt: 5, sayı: 1 ss 193-204, 2006.