Material selection on countermeasure flares systems by multi criteria decision making methods

Yıl 2020, Cilt: 4 Sayı: 1, 1 - 9, 31.07.2020

Ercan Şenyiğit , Bilal Demirel

Öz

The material is one of the main important factors that should be considered in the design. The right material selection allows the design, on which is studied, to show the best performance. For this reason, this study aims to determine the best material for countermeasure flare systems with multi-criteria decision-making (MCDM) methods. In our study, a MCDM method called best worst based simple additive weighting (BWSAW) is proposed for material selection problem. AHP, SAW, TOPSIS, ELECTRE and BWSAW MCDM methods are also used. Cost, tensile strength, melt point, thermal conductivity, density, and thermal expansion have been taken into consideration as criteria and titanium diboride, alumina (95), chromium, silicium carbide, carbon fiber, and stainless steel as material alternatives. Carbon fiber is the best material for the AHP, SAW and BWSAW methods while stainless steel is the best material for ELECTRE and TOPSIS method. Given all methods together, it has been decided that the best material to be used for the countermeasure flare system is carbon fiber. This proposed MCDM method can be used by decision makers for all multi criteria decision making problems for future works. This study is intended at analysing the problem of the material selection of the dispenser systems used in the production of Countermeasures Dispenser Systems. In this research, a hybrid MCDM technique based on the combination of the BWM and SAW is utilized to solve the problem of selecting suitable material of the countermeasures dispenser systems in the literature.

Anahtar Kelimeler

Material Selection, , design, multi criteria decision making, AHP, SAW, TOPSIS, ELECTRE, BWSAW, Countermeasure flare systems

Kaynakça

• [1] D. Öztürk, and F. Batuk, “Criteria weighting in multicriteria decision making,” Journal of Engineering and Natural Sciences, Vol. 25 No. 1, pp. 86 – 98, 2007.
• [2] E. Şenyiğit, and B. Demirel, “Determination of the material for the carbonated soft drink packaging with multi-criteria decision making methods,” Sigma Journal of Engineering and Natural Sciences, Vol. 35 No. 3, pp. 471-480, 2017.
• [3] U. Yılmaz, and C. Evci, “Future Of Composite Materials In Aerospace and Defense Industry,” The Journal of Defense Sciences, Vol.14 No. 2, pp. 77-109, 2015.
• [4] Y. V. Pehlivanoğlu, “Honeycomb Structures in the Aviation,” The Journal of Aeronautics and Space Technologies, Vol. 2 No. 2, pp. 37-41, 2005.
• [5] M. Belevi, and G. İnançer, “Effects of Impact and Ambient Conditions on Mechanical Properties of Composite Materials,” Machinery Electronics Electronic Magazine, Vol. 4, pp. 19-31, 2008.
• [6] M. Yurdakul, O. Özbay, and Y.T. İç, “Selection of Aerospace Aluminum Alloys,” Journal of the Faculty of Engineering and Architecture of Gazi University, Vol. 17 No. 2, pp. 1-23, 2002.
• [7] E. Şenyiğit, and B. Demirel, “The Selection of Material in Dental Implant with Entropy Based Simple Additive Weighting and Analytic Hierarchy Process Methods,” Sigma Journal of Engineering and Natural Sciences, Vol. 36 No 3, pp. 731-740, 2018.
• [8] F. Öztürk, and İ. Kaçar, İ., “Investigation of Magnesium Alloys and their Applications,” Niğde University Journal of Engineering Sciences, Vol. 1 No. 1, pp. 12-20, 2012.
• [9] X. Sun, and V. Gollnick V., “Intelligent Multicriteria Decision Support System for Systems Design,” Journal of Aircraft, Vol. 51 No. 1, pp. 1–11, 2014.
• [10] X. Sun, “Incorporating multicriteria decision analysis techniques in aircraft conceptual design process,” Journal of Aircraft, Vol. 51 No.3 pp. 861–869, 2014.
• [11] B. Sennaroglu, and G.V. Celebi, “A military airport location selection by AHP integrated PROMETHEE and VIKOR methods,” Transportation Research Part D: Transport and Environment, Vol. 59, pp. 160–173, 2018.
• [12] A. K. Babu, P. Venkataramaiah, and S. Yerrathota, S. “Material Selection for Preparation of Aluminium Hybrid Mmcs”, Materials Today: Proceedings, Vol. 5, pp. 12209–12222, 2018.
• [13] R.R. Kumar, S. Mishra, and C. Kumar, “A Novel Framework for Cloud Service Evaluation and Selection Using Hybrid MCDM Methods,” Arabian Journal for Science and Engineering, Vol. 43, pp. 7015–7030, 2018.
• [14] M. Kabak, and İ. Keskin, “Hazardous Materials Warehouse Selection Based on GIS and MCDM,” Arabian Journal for Science and Engineering, Vol. 43, pp. 3269–3278, 2018.
• [15] M.R. Asadabadi, “The stratified multi-criteria decision-making method,” Knowledge-Based Systems, Vol. 162, pp. 115–123, 2018.
• [16] F. Sitorus, J.J. Cilliers, and P.R. Brito-Parada, “Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends,” Expert Systems With Applications, Vol. 121, pp. 393–417, 2019.
• [17] H. Khedrigharibvand, H. Azadi, D. Teklemariam, E. Houshyar, P. De Maeyer, and F. Witlox, “Livelihood alternatives model for sustainable rangeland management: a review of multi-criteria decision-making techniques,” Environment, Development and Sustainability, Vol. 21, pp. 11–36, 2019.
• [18] R. Ghasempour, M. A. Nazari, M. Ebrahimi, M. H. Ahmadi and H. Hadiyanto, “Multi-Criteria Decision Making (MCDM) Approach for Selecting Solar Plants Site and Technology: A Review,” International Journal of Renewable Energy Development, Vol. 8 No 1, pp. 15–25, 2019.
• [19] J. Rezaei, “Best-worst multi-criteria decision-making method,” Omega, Vol. 53, pp. 49–57, 2015.
• [20] J. Rezaei, “Best-worst multi-criteria decision-making method: Some properties and a linear model,” Omega, Vol. 64, pp. 126-130, 2016.
• [21] J. Rezaei, A. Hemmes, and L. Tavasszy, L., “Multi-criteria decision-making for complex bundling configurations in surface transportation of air freight,” Journal of Air Transport Management, Vol. 61 No 1, pp. 95–105, 2017.
• [22] J. Rezaei, T. Nispeling, J. Sarkis, and L. Tavasszy, “A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method,” Journal of Cleaner Production, Vol. 135 No 1, pp. 577–588, 2016.
• [23] J. Rezaei, J. Wang, and L. Tavasszy, “Linking supplier development to supplier segmentation using best worst method,” Expert Systems with Applications, Vol. 42 No 23, pp. 9152–9164, 2015.
• [24] A. Cheraghalipour, M. M. Paydar, and M. Hajiaghaei-Keshteli, “Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry,” International Journal of Applied Decision Sciences, Vol. 11 No 3, pp. 274-301, 2018.
• [25] G. Yücenur, and A. Subaşı, "An integrated solution for space shuttle launching ramp," Aircraft Engineering and Aerospace Technology, Vol. 91 No. 7, pp. 1051-1057, 2019.
• [26] A. Sotoudeh-Anvari, S.J. Sadjadi, S. M. H. Molanaa, and S. Sadi-Nezhada, “A new MCDM-based approach using BWM and SAW for optimal search model,” Vol. 7 No 2018, pp. 395-404, 2018.