Küçük ve Orta Ölçekli Firmalar İçin İşleme Merkezi Seçiminde Kullanabilecek Bir Karar Destek Sistemi

Yıl 2018, Cilt: 16 Sayı: 2, 71 - 80, 25.10.2019

Yusuf Tansel İç , Emin Kabacaoğlu Çağlar Tümay Hasan İnanç Demirtaş

Öz

Küreselleşen iş
dünyası, rekabetçi ekonomi, bilgisayar ve elektronik teknolojisindeki
gelişmeler firmaları eski tezgâhlar yerine yeni işleme merkezleri satın almaya zorlamaktadır.
İmalat tesisinde işleme merkezi seçimi zor ve karar alma aşaması çok uzun zaman
alabilen bir problemdir. Seçim süreci geniş bir çeşitlilikteki işleme
merkezinin ve işlenecek parça özelliklerinin hesaba katılmasını zorunlu kılar. Bu çalışmada, pratik uygulamalar göz önüne alınarak, işleme
merkezi seçmek için karar vericiye yardımcı olacak tarzda bir karar destek
sistemi geliştirilmiştir. Uygun işleme merkezleri karar vericinin sorulara
verdiği cevaplara göre veri tabanından seçilmektedir. 

Anahtar Kelimeler

İşleme Merkezi, CNC, İmalat, Küçük ve Orta Boy İşletmeler

Kaynakça

• 1. İç, Y.T., Yurdakul, M. A Decision Support System for Selection of Machining Centers” Journal of the Faculty of Engineering and Architecture of Gazi University, 23(1),(2008), 85-95.2. Lin, Z-C., Yang C-B. Evaluation of machine selection by the AHP method. J Mater Proc Technol 57(1996)253–258.
• 3. Çimren E, Budak E, Çatay B. Development of a machine tool selection system using analytic hierarchy process. In: Teti R (ed.), Proc of the 4th CIRP International Seminar on Intelligent Computation in Munufacturing Engineering, Sorrento, Italy, pp 193–198 (2004).
• 4. Oeltjenbruns H., Kolarik W.J., Schnadt-Kirschner R. Strategic planning in manufacturing systems- AHP application to an equipment replacement decision. Int J Prod Econ 38(1995)189–197.
• 5. Tabucanon M.T., Batanov D.N., Verma D.K. Intelligent Decision Support System (DSS) for the selection process of alternative machines for flexible manufacturing systems (FMS).Comput Ind 25(1994)131–143.
• 6. Yurdakul M. AHP as a strategic decision-making tool to justify machine tool selection. J Mater Proc Tech 146 (2004) 365–376
• 7. Sun S. Assessing computer numerical control machines using data envelopment analysis. Int J Prod Res 40(9), (2002) 2011–2039
• 8. Wang T.Y., Shaw C-F., Chen Y-L. Machine selection in flexible manufacturing cell: a fuzzy multiple attribute decision making approach. Int J Prod Res 38(9),(2000)2079–2097
• 9. Yurdakul, M., İç, Y.T. Analysis of the benefit generated by using fuzzy numbers in a TOPSIS model developed for machine tool selection problems. Journal of Materials Processing Technology, 209(1), (2009) 310–317. 10. Yurdakul, M., İç, Y.T. Application of correlation test to criteria selection for multi criteria decision making (MCDM) models. International Journal of Advanced Manufacturing Technology, 40(3-4), (2009), 403–412.11. İç, Y.T., Yurdakul, M. Development of a decision support system for machining center selection”,Expert Systems With Applications, 36(2), (2009) 3505–3513.12. Arslan M.C., Catay B., Budak E. Decision support system for machine tool selection. In: Baykasoglu A, Dereli T (eds.) Proc ICRM–2002, 2nd International Conference on ResponsiveManufacturing, University of Gaziantep, Turkey, pp 752–757,(2002).
• 13. İç, Y.T., Yurdakul, M., Eraslan, E. Development of a Component Based Machining Center Selection Model using AHP”. International Journal of Production Research. 50(22),2012, 6489–6498.
• 14. Atmani, A. Lashkari, R.S., A model of machine-tool selection and operation allocation in Flexible Manufacturing System. International Journal of Production Research, 36(5), (1998)1339-1349.
• 15. Gerrard, W. Selection Procedures Adopted by Industry for Introducing New Machine Tools. Advances in Manufacturing Technology III, Proc. Fourth Natl. Conf. on Production Research, Kogan Page, London, (1988), 525- 536.
• 17. Haddock, J. and Hartshorn, T. A., “A Decision Support System for Specific Machine Selection”, Computers and Industrial Engineering 16(2), 1989, 277-286.
• 18. Hwang, C. L., Yoon, K. Multiple attributes decision making methods and applications. Berlin: Springer, (1981).