COMPARISON OF LASER CUTTING MACHINES IN PRODUCTION COMPANIES WITH PROMETHEE METHOD

Year 2013, , 305 - 318, 01.05.2013

Aşkın Özdağoğlu

https://doi.org/10.11122/ijmeb.2013.9.19.288

Cited By: 6

Abstract

Managers must think many evaluation criteria together. Some of these criteria values must be higher, but some of them must be low. Promethee method enables to evaluate of these opposite values. In this study, laser cutting machines will be compared according to working accuracy, cutting speed, point to point speed, acceleration and axis movement evaluation criteria by using Promethee method. Working accuracy value differs from the other evaluation criteria because lower working accuracy value is preferable

Keywords

Production Management, Multicriteria Decision Making, Promethee

ÜRETİM İŞLETMELERİNDE LAZER KESME MAKİNELERİNİN PROMETHEE YÖNTEMİ İLE KARŞILAŞTIRILMASI

Abstract

Karar verme sürecinde yöneticiler çok sayıda değerlendirme ölçütünübirarada düşünmek zorundadır. Bu ölçütlerden bazılarının değerlerinin mümkün olduğunca yüksek çıkması bazılarının ise küçük olması arzu edilen durumdur. Bu zıt yapıdaki değerlerin birarada incelenmesine olanak sağlayan çok ölçütlü karar verme yöntemlerinden birisi Promethee’dir. Bu çalışma kapsamında, çalışma hassasiyeti, kesim hızı, konumlama hızı, ivme ve eksen derinliği değerlendirme ölçütlerine göre lazer kesme makineleri Promethee yöntemi kullanılarak karşılaştırılacaktır. Bu ölçütlerden çalışma hassasiyet değerinin küçük olması istenen özellik olarak farklılık göstermektedir.

Keywords

Üretim Yönetimi, Çok Ölçütlü Karar Verme, Promethee

References

• Albadvi, A. (2004). Formulating national information technology strategies: A preference ranking model using Promethee method. European Journal of Operational Research, 153, 290–296 .
• Albadvi, A. S., Chaharsooghi, K., & Esfahanipour, A. (2007). Decision making in stock trading: An application of Promethee. European Journal of Operational Research, 177, 673–683.
• Ballı, S., Karasulu, B., & Korukoğlu, S. (2007). En uygun otomobil seçimi problemi için bir bulanık promethee yöntemi uygulaması. D.E.Ü.İ.İ.B.F. Dergisi, 22(1), 139-147.
• Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). Promethee: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200, 198–215.
• Beynon, M. J., & Wells, P. (2008). The lean improvement of the chemical emissions of motor vehicles based on preference ranking: A Promethee uncertainty analysis. Omega, 36, 384–394.
• Dağdeviren, M., & Eraslan, E. (2008). Promethee sıralama yöntemi ile tedarikçi seçimi. Gazi Üniv. Müh. Mim. Fak. Der, .23(1), 69-75.
• Doumpos, M., & Zopounidis, C. (2010). A multicriteria decision support system for bank rating. Decision Support Systems, 50, 55–63.
• Friend, A. J., Ayoko, G. A., & Guo, H. (2011). Multi-criteria ranking and receptor modelling of airborne fine particles at three sites in the Pearl River Delta region of China. Science of the Total Environment, 409, 719–737.
• Frini, A., Guitouni, A., & Martel, J-M. (2012). A general decomposition approach for multi-criteria decision trees. European Journal of Operational Research, 220, 452–460.
• Goumas, M., & Lygerou, V. (2000). An extension of the Promethee method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects. European Journal of Operational Research, 123, 606-613 .
• Halouani, N., Chabchoub, H., & Martel, J-M. (2009). Promethee-MD-2T method for project selection. European Journal of Operational Research, 195, 841–849.
• http://www.best.com.tr/urun.asp?kategori_id=2&id=21#sayfabasi ; 09.05.2012
• http://www.best.com.tr/urun.asp?kategori_id=2&id=22#sayfabasi ; 09.05.2012
• http://www.best.com.tr/urun.asp?kategori_id=2&id=7#sayfabasi ; 09.05.2012
• http://www.lazer-kesim.net/lazer-kesim ; 06.06.2013
• http://www.lazer-kesim.net/lazer-kesimin-avantajlari ; 06.06.2013
• Kodikara, P. N., Perera, B. J. C., & Kularathna, M. D. U. P. (2010). Stakeholder preference elicitation and modelling in multi-criteria decision analysis – A case study on urban water supply. European Journal of Operational Research, 206, 209–220.
• Korkmaz, S., Ali, N. B. H., & Smith, I. F. C. (2012). Configuration of control system for damage tolerance of a tensegrity bridge. Advanced Engineering Informatics, 26, 145–155.
• Kücü, Hüseyin. (2007). Promethee sıralama yöntemi ile personel seçimi ve bir işletmede uygulanması. (Yüksek Lisans Tezi) Gazi Üniversitesi Fen Bilimleri Enstitüsü, Ankara.
• Lanza, G., & Ude, J. (2010). Multidimensional evaluation of value added networks. CIRP Annals - Manufacturing Technology, 59, 489–492.
• Macharis, C., Springael, J., De Brucker, K., & Verbeke, A. (2004). Promethee and AHP: The design of operational synergies in multicriteria analysis. Strengthening Promethee with ideas of AHP. European Journal of Operational Research, 153, 307– 317 .
• Mahbub, P., Goonetilleke, A., Ayoko, G. A., & Egodawatta, P. (2011). Effects of climate change on the wash-off of volatile organic compounds from urban roads. Science of the Total Environment, 409, 3934–3942.
• Marasovic, B., & Babic, Z. (2011). Two-step multi-criteria model for selecting optimal portfolio. International Journal of Production Economics, 134, 58–66.
• Mela, K., Tiainen, T., & Heinisuo, M. (2012). Comparative study of multiple criteria decision making methods for building design. Advanced Engineering Informatics. (Baskıda makale)
• Ni, Y., Mei, M., & Kokot, S. (2011). Analysis of complex, processed substances with the use of NIR spectroscopy and chemometrics: Classification and prediction of properties — The potato crisps example. Chemometrics and Intelligent Laboratory Systems, 105. 147–156.
• Parreiras, R. O. & Vasconcelos, J. A. (2007). A multiplicative version of Promethee II applied to multiobjective optimization problems. European Journal of Operational Research, 183. 729–740 .
• Semaan, N., & Zayed, T. (2010). A stochastic diagnostic model for subway stations. Tunnelling and Underground Space Technology, 25. 32–41.
• Sultana, A., & Kumar, A. (2012). Ranking of biomass pellets by integration of economic, environmental and technical factors. Biomass and bioenergy, 39. 344-355.
• Theodorou, S., Florides, G., & Tassou, S. (2010). The use of multiple criteria decision making methodologies for the promotion of RES through funding schemes in Cyprus, A review. Energy Policy, 38. 7783–7792.
• Turcksin, L., Bernardini, A., & Macharis, C. A. (2011). Combined AHP- Promethee approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet. Procedia Social and Behavioral Sciences, 20. 954–965.
• Vukovic, S., Delibasic, B., Uzelac, A., & Suknovic, M. (2012). A case-based reasoning model that uses preference theory functions for credit scoring. Expert Systems with Applications, 39. 8389–8395.
• Zhu, Z., Xu, L., Chen, G., & Li, Y. (2010). Optimization on tribological properties of aramid fibre and CaSO4 whisker reinforced non-metallic friction material with analytic hierarchy process and preference ranking organization method for enrichment evaluations. Materials and Design, 31, 551–555.