Analyzing Turkish Air Force Material Requirement Planning Procurement List Results Via MCDM Techniques

Abstract

Abstract

 

It is crucially critical for the Air Force to be able to keep the weapons systems mission-capable in the inventory at their desired location and amount both in terms of being deterrent to the elements of the enemy threat in times of peace, and to ensure the country defense in times of crise and war.  Hence, supply planning for the materials used in the maintenance and breakdown situations of the related systems has to be carried out effectively. Turkish Air Force utilizes a Decision Support System (DSS) that ensure the material requirement planning (MRP). The material-purchase-list established by the DSS is examined by the specialist staff to make the supply decision. The purpose of the study is to provide a scientific approach which will guide decision makers in the examination activity, by ranking the MRP results according to the importance level in order to give the most accurate procurement decision. To serve the aim of the study, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) which are Multi Criteria Decision Making (MCDM) method were performed in an integrated manner. The ranking order was evaluated based on each criterion and, also it was compared with the Staff’s decisions in the considered past period. Based on these two analysis it is concluded that the utilized integrated technique provides opportunity for experts to examine the purchased items primarily that might be ignored via traditional approach; prevent to exceed the possible deadline for waiting parts and use scarce resources more effective.

Keywords: Enterprise Resource Planning, ERP, Material Requirement Planning, MRP, Decision Support Systems, Multiple Criteria Decision Making, MCDM, AHP, TOPSIS.

Keywords

• Enterprise Resource Planning,ERP,Material Requirement Planning,MRP,Decision Support Systems,Multiple Criteria Decision Making,MCDM,AHP,TOPSIS

Hava Kuvvetleri Komutanlığı Malzeme İhtiyaç Planlaması Tedarik Tavsiye Listesinin ÇKKV Yöntemleri İle Analizi

Abstract

Öz

 

Hava Kuvvetleri Komutanlığı’nın envanterindeki silah sistemlerini istenilen yerde ve miktarda faal olarak bulundurabilmesi; gerek barış zamanında düşman tehdit unsurları üzerinde caydırıcı olabilmesi açısından, gerekse kriz ve savaş zamanlarında etkin savunma yapabilmesi açısından kritik öneme sahiptir. Bu nedenle, silah sistemlerinin bakım ve arıza durumlarında kullanılan malzemeler için tedarik planlanmasının etkin şekilde yapılması zaruridir. Hava Kuvvetleri Komutanlığı, Malzeme İhtiyaç Planlaması (MİP) için bir Karar Destek Sistemi (KDS) kullanmaktadır. KDS’nin oluşturduğu ihtiyaç listesi karar verici uzman personelce incelenmekte ve uygun görülen malzemeler için tedarik kararı verilmektedir. Bu çalışmada, en doğru tedarik kararının verilebilmesi için MİP sonuçlarının önem derecesine göre sıralanarak karar vericilere inceleme faaliyetinde yol gösterecek bilimsel bir yaklaşım sunmak amaçlanmıştır. Bu amaç doğrultusunda, Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) ve Analitik Hiyerarşi Prosesi (AHP) bütünleşik olarak kullanılmıştır. Sunulan yaklaşımın, geleneksel yöntem ile göz ardı edilen birçok malzemenin çok daha öncelikli olarak incelenmesine, olası birçok parça bekler olayı önlemeye ve kıt kaynakların verimli kullanılmasına katkı sunduğu,  sıralama sonuçların kriter bazında analizi ve sonuçların kullanıcı tedarik kararları karşılaştırılması ile tespit edilmiştir.

Anahtar Kelimeler: Kurumsal Kaynak Planlama, KKP, Malzeme İhtiyaç Planlaması, MİP, Karar destek sistemi,  Çok kriterli karar verme, ÇKKV, AHP, TOPSIS.

Keywords

• Kurumsal Kaynak Planlama,KKP,Malzeme İhtiyaç Planlaması,MİP,Karar Destek Sistemi,Çok Kriterli Karar Verme,ÇKKV,AHP,TOPSIS

References

1. Kaynakça
2. Kitaplar
3. Hwang, C.L. and Yoon, K., (1981). Multi Attribute Decision Making Methods and Applications A State of The Art Survey. Springer-Verlag, Berlin.
4. Makaleler
5. 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.
6. Tezler
7. 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.