KONFEKSİYON SEKTÖRÜNDE ORAN ANALİZİ BAZINDA ÇOK AMAÇLI OPTİMİZASYON YÖNTEMİ (MOORA) İLE DİKİŞ MAKİNESİ SEÇİMİ UYGULAMASI

İplikten giysiye ulaşan süreçte birçok farklı işlem bulunmaktadır. Bu sürecin son adımı dikiş aşamasında kullanılan en önemli araç dikiş makinesidir. Piyasalardaki rekabet koşulları nedeniyle konfeksiyon sektöründe satın alınacak makinaların hız, fiyat enerji tüketimi gibi konularda optimal seviyede olması gerekmektedir. Bu nedenle bu çalışmada en yeni çoklu kriterli karar verme yöntemlerinden MOORA kullanılmıştır ve elde edilen sonuçlar TOPSIS yöntemiyle karşılaştırılıp optimal makine seçilmiştir

Anahtar Kelimeler:

Konfeksiyon, Makine Seçimi, MOORA, TOPSIS, Çok Amaçlı Karar Verme

THE APPLICATION OF SEWING MACHINE SELECTION WITH THE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS METHOD (MOORA) IN APPAREL SECTOR

There are a lot of different operations in transformation process from fiber to garment. Sewing is the last stage of this process and sewing machine is the most important tool in this process. In terms of competition in the market, the machines have to be optimal level in speed, price, energy consumption etc. subjects which will be purchased. Therefore, Multi-Objective Optimization on the Basis of Ratio Analysis Method (MOORA) is used in this paper which is one of the newest multi objective/criteria decision making methods and attained results were compared with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) after that optimal machine was selected

Keywords:

Apparel, Machine Selection, MOORA, TOPSIS, Multi-Objective Decision Making,

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1. Jones, R.M., 2002, The Apparel Industry, Blackwell Science, Oxford, p. 1.
2. Turkish Statistical Institute, Export by Standard International Trade Classification (SITC.Rev.3), http://www.tuik.gov.tr/PreIstatistikTablo.do?istab_id=630 (Accessed: 9.12.2014).
3. Hayes, S.G., McLoughlin, J., 2008, Technological advances in sewing garments. In: Fairhurst, C., ed. Advances in Apparel Production, Woodhead Publishing Limited, pp: 197-198.
4. Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., et al., 2008, “Multi-objective decision-making for road design”, Transport, 23(3), pp: 183-193. 5. Opricovic, S., Tzeng, G.H., 2004, “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS”, European Journal of Operational Research, 156(2), pp: 445-455.
6. Ustinovichius, L., Zavadskas, E.K., Podvezko, V., 2007, “Application of a quantitative multiple criteria decision making (MCDM-1) approach to the analysis of invesments in construction”, Control and Cybernetics, 36(1), pp: 251-268.
7. Güner, M., 2006,”Analitik Hiyerarşi Yönteminin Fason İşletme Seçiminde Kullanılması”, Tekstil ve Konfeksiyon, Yıl:16(3), pp: 206-210.
8. Larichev, O.I., 2002, “Properties of the Decision Methods in the Multicriteria Problems of Individual Choice”, Automation and Remote Control, 63(2),pp: 304- 315.
9. Brauers, W.K.M., Zavadskas, E.K., 2006, “The MOORA method and its application to privatization in a transition economy”, Control and Cybernetics, 35(2), pp: 445-469.
10. Karande, P., Chakraborty, S., 2012, “Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection”, Materials and Design, May, pp: 317-324.
11. Brauers, W.K.M., Zavadskas, E.K., Turskis, Z., et al., 2008, “Multi-objective contractor’s ranking by applying Moora method”, Journal of Business Economics and Management, 9(4), pp: 245-255.
12. Brauers, W.K.M., Zavadskas, E.K., 2009, “Robustness of the multi-objective MOORA method with a test for the facilities sector”, Technological and Economic Development of Economy, 15(2), pp: 352-375.
13. Zavadskas, E.K., Antucheviciene, J., Šaparauskas, J., et al., 2013, “Multi-criteria Assessment of Facades’ Alternatives: Peculiarities of Ranking Methodology”, Procedia Engineering, 57, pp: 107-112.
14. Chakraborty, S., 2011, “Applications of the MOORA method for decision making in manufacturing environment”, The International Journal of Advanced Manufacturing Technology, 54(9-12), pp: 1155-1166.
15. Datta, S., Sahu, N., Mahapatra, S., 2013, “Robot selection based on grey-MULTIMOORA approach”, Grey Systems: Theory and Application, 3(2), pp: 201- 232.
16. Baležentis, A., Baležentis, T., Brauers, W.K.M., 2012, “Personnel selection based on computing with words and fuzzy MULTIMOORA”, Expert Systems with Applications, 39(9), pp: 7961-7967.
17. İç, Y.T., Yıldırım, S., 2013, “MOORA-based Taguchi optimisation for improving product or process quality”, International Journal of Production Research, 51(11), pp: 3321-3341.
18. Jana, T.K., Bairagi, B., Paul, S., et al., 2013, “Dynamic schedule execution in an agent based holonic manufacturing system”, Journal of Manufacturing Systems, 32(4), pp: 801-816.
19. Brauers,W.K.M., 2013, “Multi-objective seaport planning by MOORA decision making”, Annals of Operations Research, July, pp: 39-58.
20. Yıldırım, B.F., Önay, O., 2013, “Bulut Teknolojisi Firmalarının Bulanık AHP-MOORA Yöntemi Kullanılarak Sıralanması”, İ.Ü. İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, Yıl: 24(75), pp: 59-81.
21. Liu, H.C., You, J.X., Lu, C., et al., 2015, “Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model”, Renewable and Sustainable Energy Reviews, January, pp: 932-942.
22. Dağdeviren, M., Yavuz, S., Kılınç, N., 2009, “Weapon selection using the AHP and TOPSIS under fuzzy environment”, Expert Systems with Applications, 36(4), pp: 8143-8151.
23. Wang, Y.M., Elhag, T.M.S., 2006, “Fuzzy TOPSIS method based on alpha level sets with an application to brigde risk assesment”, Expert Systems with Applications, 31(2), pp: 309-319.
24. Feng, C.M., Wang, R.T., 2000, “Performance evaluation for airlines including the consideration of financial ratios”, Journal of Air Transport Management, 6(3), pp: 133-142.
25. Ertuğrul, İ., Karakaşoğlu, N., 2009, “Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods”, Expert Systems with Applications, 36(1), pp: 702-715.
26. Tsaur, S.H., Chang, T.Y., Yen, C.H., 2002, “The evaluation of airline service quality by fuzzy MCDM”, Tourism Management, 23(2), pp: 107-115.
27. Yang, T., Hung, C.C., 2007, “Multiple-attribute decision making methods for plant layout design problem”, Robotics and Computer-Integrated Manufacturing, 23(1), pp: 126-137.
28. Chen, C.T., Lin, C.T., Huang, S.F., 2006, “A fuzzy approach for supplier evaluation and selection in supply chain management”, International Journal of Production Economics, 102(2), pp: 289-301.
29. Ertugrul, I. ,Oztas, T., 2014, “Business mobile-line selection in Turkey by using fuzzy TOPSIS, one of the multi-criteria decision methods”, Procedia Computer Science, 31, pp: 40-47.
30. Shyur, H.J., Shih, H.S., 2006, “A hybrid MCDM model for strategic vendor selection”, Mathematical and Computer Modelling, 44(7-8), pp: 749-761.