GÜNEŞENERJİSİVE SU ISITMA SİSTEMLERİ İMAL EDEN BİR İŞLETMEDE BULANIK İŞLEM SÜRELERİ İLE MALZEME İHTİYAÇ PLANLAMA
Öz
Anahtar Kelimeler
Malzeme İhtiyaç Planlama,Ana Üretim Planı,Bulanık Küme Teorisi,Bulanık İşlem Süreleri.
Kaynakça
- ACAR, N., (1998): “Üretim Planlaması Yöntem ve Uygulamaları”. Ankara, Milli Prodüktivite Merkezi.
- ANG, J. S. K., SUM, C. C., YEO, L. N., (2002): A multiple-case design methodology for studying MRP success and CSFs. “Information & Management”, Volume 39, Issue 4, pp 271-281.
- BUFFA, E. S., SARIN, R. K., (1989): “Modern Production Operations Management”. LA, John Willey& Sons.
- CHARNES, A., COOPER, W. W., (1959): Chance-constrained programming. “Management Science”, Vol 6, No 1, pp 73-79.
- CHEN, S. J., HWANG, C. L., (1992): “Fuzzy multiple attribute decision making methods and applications, Lecture Notes in Economics and Mathematical Systems”. New York, Springer.
- CHENG, C. H., (1998): A new approach for ranking fuzzy numbers by distance method. “Fuzzy Sets and Systems”, Vol 95, pp 307-317.
- DUBOIS, D., PRADE, H., (1983): Ranking of fuzzy numbers in the setting of possibility theory. “Inform. Science”, Vol 30, pp 183-224.
- ENNS, S. T., (2002): MRP performance effects due to forecast bias and demand uncertainty. “European Journal of Operational Research”, Volume 138, Issue 1, pp 87-102.
- GELDERS, L. F., VAN WASSENHOVE, L.N., (1985): Capacity planning in MRP, JIT and OPT: A critique. “Engineering Costs and Production Economics”, Volume 9, Issues 1-3, pp 201-209.
- GHAZANFARI, M., AHMADVAND, A., 2001, Using crisp-fuzzy numbers to model MRP under lead time uncertainty, Proceedings of 6th Annual International Conference on Industrial Engineering- Theory, Applications and Practice, San Francisco, CA, USA, November 18-20.