Allet, S. (2003). Handling flexibility in a generalized job shop with a fuzzy approach. European Journal of Operations Research, 147, 312-333. doi:10.1016/S0377-2217(02)00563-5
Axsater, S. (1990). Simple solution for a class of two-echelon inventory problems, Operations Research, 38(1), 64-69. doi:10.1016/S0377-2217(02)00563-5
Balan, S., Vrat, P., & Kumar, P. (2007). Reducing the bullwhip effect in a supply chain with fuzzy logic approach. International Journal of Integrated Supply Management, 3(3), 261-282. doi:10.1504/IJISM.2007.012630
Caglar, D. (2001). A multi-echelon spare parts inventory system with emergency lateral shipments subject to a response time constraint, Ph.D. Dissertation Thesis. Department of Industrial Engineering and Management Science, Northwestern University.
Cohen, M. A., Kleindorfer, P. R., Lee, H., & Lee, K. (1986). Optimal stocking policies for low usage items in multi-echelon inventory systems. Naval Research Logistics Quarterly, 33, 17-38. doi:10.1002/nav.3800330103
Deng, Y. W., Gong, J. K., Yang, J., & Tan, L. G. (2008). An investigation on energy regeneration in a CFA6470 parallel hybrid electric vehicle using fuzzy logic. International Journal of Electric and Hybrid Vehicles, 1(3), 238-247. doi:10.1504/IJEHV.2008.019899
Frantti, T., & Mahonen, P. (2001). Fuzzy logic-based forecasting model. Engineering Applications of Artificial Intelligence, 14, 189-201. doi:10.1016/S0952-1976(00)00076-2
Gottwald, S. (2005). Mathematical fuzzy logic as a tool for the treatment of vague information. Information Sciences, 172, 41–71. doi:10.1016/j.ins.2005.02.004
Grabot, B. & Geneste, L. (1994). Dispatching rules in scheduling: a fuzzy approach. International Journal of Production Research, 32(4), 903-915. doi:10.1080/00207549408956978
Graves, S. C. (1985). A multi-echelon model for repairable item with one-for-one replenishment. Management Science, 31, 1247-1256. doi:10.1287/mnsc.31.10.1247
Hedjar, R. (2008). Fuzzy control of periodic-review state-dependent production systems with unknown deterioration rate. International Journal of Operational Research, 3(6), 632-642. doi:10.1504/IJOR.2008.019730
Hopp, W. J., Zhang, R., & Spearman, M. L. (1999). An easily implementable hierarchical heuristic for a two-echelon spare parts distribution system. IIE Transactions, 31, 977-988. doi:10.1080/07408179908969898
Mahata, G. C., & Goswami, A. (2009). A fuzzy replenishment policy for deteriorating items with ramp type demand rate under inflation. International Journal of Operational Research, 5(3), 328-348. doi:10.1504/IJOR.2009.025200
McCahonE, C. S., & Lee, S. (1992). Fuzzy job scheduling for a flow shop. European Journal of Operational Research, 62, 294-301. doi:10.1016/0377-2217(92)90119-T
Novák, V., Perfilieva, I., & Mockor, J. (1999). Mathematical principles of fuzzy logic. The Springer International Series in Engineering and Computer Science, 1st
Ordoobadi, S. M., & Mulvaney, N. J. (2001). Development of a justification tool for advanced manufacturing technologies: system-wide benefits value analysis. Journal of Engineering and Technology Management, 18, 157-184. edition.
doi:10.1016/S0923-4748(01)00033-9
Petroni, A., & Rizzi, A. (2002). A fuzzy logic based methodology to rank shop floor dispatching rules. International Journal of Production Economics, 76, 99-108. doi:10.1016/S0925-5273(01)00171-2
Ross, T. J. (1995). Fuzzy logic with engineering applications. New York: McGraw-Hill Inc.
Serra, G. L. O., & Bottura, C. P. (2006). Methodology for fuzzy identification in a noisy environment. International Journal of Modellig Identification and Control, 1(4), 281-291. doi:10.1504/IJMIC.2006.012616
Svoronos, A., & Zipkin, P. (1991). Evaluation of one-for-one replenishment policies for multi-echelon inventory systems. Management Science, 37(1), 68-83. doi:10.1287/mnsc.37.1.68
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353. doi:10.1016/S0019-9958(65)90241-X
Thank you for copying data from http://www.arastirmax.com