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AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ

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Selçuk PERÇİN
Tuba YAKICI AYAN
Sayfa
555–575
Yayın Tarihi
2015-04-22
DOI
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PERÇİN, S., AYAN, T. Y. (2015). AHS VE BULANIK PROMETHEE YAKLAŞIMLARIYLA ESNEK ÜRETİM SİSTEMLERİ SEÇİMİ. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 29 - Sayı: 2, 555–575. https://ajindex.com/articles/6650

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Kaynakça (9)

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  6. CHAN, F.T.S., JIANG, B. and TANG, N.K.H., “The Development of Intelligent Decision Support Tools to Aid the Design of Flexible Manufacturing Systems”, International Journal of Production Economics, Vol.65, No.1, 2000, s. 73-84. '$ö'(9ø5(10ve ERASLAN, E., “3URPHWKHH6ÕUDODPD GOUMAS, M. and LYGEROU, V., “An Extension of the PROMETHEE Method for Decision Making in Fuzzy Environment: Ranking of Alternative Energy Exploitation Projects”, European Journal of Operational Research, Vol.123, No.3, 2000, s. 606-613.
  7. HWAN, S.S. and SHOGAN, A.W., “Modeling and Solving an FMS Part Selection Problem”, International Journal of Production Research, Vol.27, No.8, 1989, s. 1349-1366.,ù,./$5*and BÜYÜKÖZKAN, G., “Using A Multi-Criteria Decision Making Approach To Evaluate Mobile Phone Alternatives”, Computer Standards & Interfaces, Vol.29, No.2, 2007, s. 265-274.
  8. KARSAK, E.E., “Distance-Based Fuzzy MCDM Approach For Evaluating Flexible Manufacturing System Alternatives”, International Journal of Production Research, Vol.40, No.13, 2002, s. 3167- 3181. KARSAK, E.E., “Using Data Envelopment Analysis for Evaluating Flexible Manufacturing Systems in the Presence of Imprecise Data”, International Journal of Advanced Manufacturing Technologies, Vol.35, No.9-10, 2008, s. 867-874.
  9. KARSAK, E.E.- KUZGUNKAYA, O., “A Fuzzy Multipl