TY - JOUR T1 - Hava Kuvvetleri Komutanlığı Malzeme İhtiyaç Planlaması Tedarik Tavsiye Listesinin ÇKKV Yöntemleri İle Analizi TT - Analyzing Turkish Air Force Material Requirement Planning Procurement List Results Via MCDM Techniques AU - Arıkan, Feyzan AU - Yağlı, Uğur PY - 2018 DA - May DO - 10.17134/khosbd.427041 JF - Savunma Bilimleri Dergisi PB - Millî Savunma Üniversitesi WT - DergiPark SN - 1303-6831 SP - 47 EP - 73 VL - 17 IS - 1 LA - tr AB - Öz Hava Kuvvetleri Komutanlığı’nınenvanterindeki silah sistemlerini istenilen yerde ve miktarda faal olarakbulundurabilmesi; gerek barış zamanında düşman tehdit unsurları üzerindecaydırıcı olabilmesi açısından, gerekse kriz ve savaş zamanlarında etkin savunmayapabilmesi açısından kritik öneme sahiptir. Bu nedenle, silah sistemlerininbakım ve arıza durumlarında kullanılan malzemeler için tedarik planlanmasınınetkin şekilde yapılması zaruridir. Hava Kuvvetleri Komutanlığı, Malzeme İhtiyaçPlanlaması (MİP) için bir Karar Destek Sistemi (KDS) kullanmaktadır. KDS’ninoluşturduğu ihtiyaç listesi karar verici uzman personelce incelenmekte ve uygungörülen malzemeler için tedarik kararı verilmektedir. Bu çalışmada, en doğrutedarik kararının verilebilmesi için MİP sonuçlarının önem derecesine göresıralanarak karar vericilere inceleme faaliyetinde yol gösterecek bilimsel biryaklaşım sunmak amaçlanmıştır. Bu amaç doğrultusunda, Çok Kriterli Karar Verme(ÇKKV) yöntemlerinden Technique for Order Preference by Similarity to IdealSolution (TOPSIS) ve Analitik Hiyerarşi Prosesi (AHP) bütünleşik olarakkullanılmıştır. Sunulan yaklaşımın, geleneksel yöntem ile göz ardı edilenbirçok malzemenin çok daha öncelikli olarak incelenmesine, olası birçok parçabekler olayı önlemeye ve kıt kaynakların verimli kullanılmasına katkı sunduğu,  sıralamasonuçların kriter bazında analizi ve sonuçların kullanıcı tedarik kararlarıkarşılaştırılması ile tespit edilmiştir.Anahtar Kelimeler: Kurumsal Kaynak Planlama,KKP, Malzeme İhtiyaç Planlaması, MİP, Karar destek sistemi,  Çok kriterli karar verme, ÇKKV, AHP, TOPSIS. KW - Kurumsal Kaynak Planlama KW - KKP KW - Malzeme İhtiyaç Planlaması KW - MİP KW - Karar Destek Sistemi KW - Çok Kriterli Karar Verme KW - ÇKKV KW - AHP KW - TOPSIS N2 - Abstract It is crucially critical for the Air Force to beable to keep the weapons systems mission-capable in the inventory at theirdesired location and amount both in terms of being deterrent to the elements ofthe enemy threat in times of peace, and to ensure the country defense in timesof crise and war.  Hence, supply planningfor the materials used in the maintenance and breakdown situations of therelated systems has to be carried out effectively. Turkish Air Force utilizes aDecision Support System (DSS) that ensure the material requirement planning(MRP). The material-purchase-list established by the DSS is examined by thespecialist staff to make the supply decision. The purpose of the study is toprovide a scientific approach which will guide decision makers in theexamination activity, by ranking the MRP results according to the importancelevel in order to give the most accurate procurement decision. To serve the aimof the study, Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) and Analytic Hierarchy Process (AHP) which are Multi Criteria DecisionMaking (MCDM) method were performed in an integrated manner. The ranking orderwas evaluated based on each criterion and, also it was compared with theStaff’s decisions in the considered past period. Based on these two analysis itis concluded that the utilized integrated technique provides opportunity forexperts to examine the purchased items primarily that might be ignored viatraditional approach; prevent to exceed the possible deadline for waiting partsand use scarce resources more effective. Keywords: Enterprise Resource Planning, ERP, Material Requirement Planning, MRP, Decision Support Systems,Multiple Criteria Decision Making, MCDM, AHP, TOPSIS. CR - Kaynakça CR - Kitaplar CR - Hwang, C.L. and Yoon, K., (1981). Multi Attribute Decision Making Methods and Applications A State of The Art Survey. Springer-Verlag, Berlin. CR - Makaleler CR - Arıkan F., Çıtak Ş. (2017), Multiple Criteria Inventory Classification in an Electronics Firm, International Journal of Information Technology & Decision Making, Vol. 16, No. 2 (2017) 315–331. Arıkan F., Küçükce Y.S (2012), Satın Alma Faaliyeti İçin Bir Tedarikçi Seçimi-Değerlendirme Problemi Ve Çözümü, Gazi Üniversitesi, Mühendislik Mimarlık Fakültesi Dergisi, 27(2), 255-264. Arslan, G. and Aydın, Ö. (2009). A new software development for Fuzzy Multicriteria decision‐making. Technological and Economic Development of Economy, 15(2), 197-212. Ayag Z., Ozdemir R.G. (2007), An intelligent approach to ERP software selection through fuzzy ANP, International Journal Of Production Research 45, (10), 2169-2194. Aydoğan, E.K., Gencer, C. and Aytürk, S. (2009). Evaluation of a Light Machine Gun Using Analytic Network Process. Defence Science Journal, 59(3), 273-283. Can Ş., Arikan F. (2014) Multi Criteria Subcontractor Selection Problem and its Solution for a Defence Industry Firm, Journal of the Faculty of Engineering and Architecture of Gazi University, 29 (4), 645-654, 2014. Chang, J.R., Cheng, C.H. and Chen, L.S. (2007). A fuzzy-based military officer performance appraisal system. Applied Soft Computing, 7(3), 936–945. Cheng, C.H. (1996). Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function. European Journal of Operational Research, 96, 343-350. Cheng, C.H. (1999). Evaluating weapon systems using ranking fuzzy numbers. Fuzzy Sets And Systems, 107(1), 25-35. Cheng, C.H., Yang, K.L. and Hwang, C.L. (1999). Evaluating attack helicopters by AHP based on linguistic variable weight. European Journal of Operational Research, 116, 423-435. Farahani, R.Z., Asgari, N. (2007). Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study. European Journal of Operational Research, 176 (3), 1839–1858. Gazibey, Y., Kantemir, O. and Demirel, A. (2015). Interaction Among the Criteria Affecting Main Battle Tank Selection: An Analysis with DEMATEL Method. Defence Science Journal, 65(5), 345-355. Gürbüz, T., Alptekin, S.E. and Alptekin, G.I. (2012). A hybrid MCDM methodology for ERP selection problem with interacting criteria. Decision Support Systems, 54, 206-214. Jiang, J., Li, X., Zhou, Z.J., Xu, D.L. and Chen, Y.W. (2011). Weapon System Capability Assessment under uncertainty based on the evidential reasoning approach. Expert Systems with Applications, 38, 13773–13784. Kılıç, H.S., Zaim, S. and Delen, D. (2014). Development of a hybrid methodology for ERP system selection: The case of Turkish Airlines. Decision Support Systems, 66, 82–92. Leeneer, I.D., Pastijn, H. (2002). Selecting land mine detection strategies by means of outranking MCDM techniques. European Journal Of Operational Research, 139(2), 327-338. Lin, K.P., Hung, K.C. (2011). An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making. Knowledge-Based Systems, 24, 877–889. Lu, W.M., Wang, T.C.(2011). A fuzzy multi-criteria model for the industrial cooperation program transaction strategies: A case in Taiwan. Expert Systems with Applications, 38(3), 1490–1500. Saaty, T.L. (1990). How to Make a Decision : The Analytic Hierarcy Process. European Journal of Operation Research, 48, 9-26. Sanchez-Lozano, J.M., Serna, J. and Dolón-Payán, A. (2015). Evaluating military training aircrafts through the combination of multi-criteria decision making processes with fuzzy logic. A case study in the Spanish Air Force Academy. Aerospace Science and Technology, 42, 58-65. Schubert, J., Hörling, P. (2014). Preference-based Monte Carlo Weight Assignment for Multiple-criteria Decision Making in Defense Planning. 17th International Conference on Information Fusion (FUSION) Location: Salamanca, İspanya. Shen Y.C., Chen P.S., and Wang, C.H. (2016), A study of enterprise resource planning (ERP) system performance measurement using the quantitative balanced scorecard approach, Computers In Industry, 75 , 127-139. Shih, H-S., Shyur, H-J. and Lee, S.E., (2007) “An extension of TOPSIS for group decision making”, Mathematical and Computer Modeling, 45, 801-813. Tavakol, M. and Dennick, R. (2011). Making sense of Cronbach’s Alpha. International Journal of Medical Education. , 53-55. Wang, J., Fan, K., Su, Y., Liang, S. and Wang, W. (2008). Air Combat Effectiveness Assessment of Military Aircraft Using a Fuzzy AHP and TOPSIS Methodology. 7th International Conference On System Simulation And Scientific Computing Asia Simulation Conference, 1(3), 655-662. Wang, T.C. (2012). The interactive trade decision-making research: An application case of novel hybrid MCDM model. Economic Modelling, 29, 926–935. CR - Tezler CR - Yağlı, U. (2017) Hava Kuvvetleri Komutanlığı Malzeme İhtiyaç Planlaması Tedarik Tavsiyesi Sonuçlarının ÇÖKV Yöntemleri İle Analizi, Gazi Ünv., Fen Bilimleri Enstitüsü, Basılmamış Yüksek Lisans Tezi, Haziran 2017. UR - https://doi.org/10.17134/khosbd.427041 L1 - https://dergipark.org.tr/en/download/article-file/477885 ER -