Etkileşimli bulanık çok amaçlı doğrusal programlama ile bütünleşik üretim planlama: Hidrolik pompa imalatçısı firma örnek olayı

Bu çalışmada, gerçek dünyanın bulanık olan yapısını modelleyebilen ve Analitik Hiyerarşi Yöntemi ile kullanıcı ile etkileşimli olarak çalışan, onun tercihleri doğrultusunda amaçları önceliklendiren ve çözüm aşamasında da bu etkileşimi sürdürerek en iyi çözüme ulaşmayı amaç edinen, sisteme daha gerçekçi bir yaklaşım ile hem bulanıklığı hem de çok amaçlılığı içeren bir yöntem kullanılmış ve bir endüstriyel üretim sisteminde bütünleşik üretim planı gerçekleştirilmiştir.

Interactive fuzzy multiobjective linear programming for aggregate production planning: Case study of a hydraulic pump manufacturer company

In the frame of this study, an interactive fuzzy multiobjective linear programming method which is able to model the fuzzy structure of the real world as closely as possible and using AHP and running interactively, giving weights to objectives through preemptions of user and going on interacting in solution phase to find the best solution in the fuzzy environment, including both fuzziness and multiobjectiveness with a more realistic approach is used and aggregate production planning is applied in an industrial production system.

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1-Badri, A. Masood, "Combining the analytic hierarchy process and global programming for global facility location-allocation problem", Int. Journal of Production Economics, (62), 237-248, (1999).
2-Cross, V., De Cabello, M., "Fuzzy interactive multiobjective optimization on borrowing/ lending problems", Proceedings of 3rd Int. Symposium on Uncertainty Modeling and Analysis and Annual Conf. of the North American Fuzzy Inf. Processing Soc, 513-518, (1995).
3-Djukanovic, M., Babic, B., Milosevic, B., Sobajic, D., Pao, Y. H., "Fuzzy linear programming based optimal fuel scheduling incorporating blending/transloading facilities", IEEE Transactions on Power Systems, Vol 11, No 2, 1017-1023, (1996).
4-Gen, M., Tsujimura, Y., Ida, K., "Method for solving multiobjective aggregate production planning problem with fuzzy parameters", Computers and Industrial Engineering ,Great Britain, Vol. 23, Nos 1-4, 117-120, (1992).
5-Hota, P. K., Chakrabarti, R., Chattopadyay, P. K., "Economic emission load dispatch through an interactive fuzzy satisfying method", Electric Power Systems Research, Vol 54, No 3, 151-157, (2000).
6-Kubokawa, J., Okubo, Y., Sasaki, H., Yokoyama, R., "Study of an interactive fuzzy multi-objective optimal power flow", Electrical Engineering in Japan, Vol 130, No 1, 59-67, (2000).
Lai, Y. J., Hwang, C. L., Fuzzy Mathematical Programming; Methods And Applications, Springer-Verlag, Berlin., (1992).
8-Okada, S., Nakahara, Y., Ida, K., Gen, M., "A method for transforming multiple objective linear programming problems with trapezoidal fuzzy coefficients", The Transactions of Institute of Electronics, Information and Communication Engineers(A), Vol.76-A, No.3, pp421-429, (1993).
9-Ramesh, R., Karwan, M. H., Zionts, S., "Interactive multicriteria linear programming: an extension of the method of zionts and wallenius", Naval Research Logistics, Vol.36, 321-335, (1989).
10-Saaty, T. L., "A scaling method for priorities in hierarchical structures", Journal of Mathematical Psychology, 15, 234-281, (1977).
11-Saaty, T. L., The Analytic Hierarchic Process, McGraw-Hill International, NewYork., (1980). .
12-Sakawa, M., Sawada, K., "Interactive fuZzy satisficing, method for large-scale multiobjective linear programming problems with block angular structure", Fuzzy Sets and Systems, 67, 1, 5-17, (1994).
13-Sakawa, M, Yano, H., Yumine, T., "Interactive fuzzy satisficing method for multiobjective linear programming problems and its applications", IEEE Trans. Syst. Man. Cybern., Vol 17, No 4, 654-661, (1987).
14-Sasaki, M., Gen, M., "An extension of interactive method for solving multiple objective linear programming with fuzzy parameters", Computers and Industrial Engineering, Great Britain, Vol 25, Nosl-4, 9-12, (1993).
15-Tapia, C. G., Murtagh, B. A., "Interactive fuzzy programming with preference criteria in multiobjective decision making", Comp. Operations Research, Vol 18, No 3, 307-316, (1991).
16-Tzeng, G. H., Teodorovic, D., Hwang, M. J,, "Fuzzy bicriteria multi-index transportation problems for coal allocation planning of taipower", European Journal of Operational Research, Vol 95, No 1, 62-72, (1996).
17-Werners, B., "Interactive fuzzy programming system, fuzzy sets and systems", Vol 23, No 1,131-147,(1987).
18-Wu, S. M., Huang, G. H., Guo, H. C, "Interactive inexact-fuzzy approach for multiobjective planning of water resource systems", Water Science and Technology, 36, 5, 235-242, (1997).
19-Vlaisavljevic, D., Djukanovic, M. B., Sobajic, D. J., Babıc, B. S., "Fuzzy linear programming based optimal power system rescheduling including preventive redispatch", IEEE Transactions on Power Systems, Vol 14, No 2, 525-531, (1999).
20-Zadeh, L. A., "Fuzzy sets, information and control", Vol 8, 338-353, (1965).
21-Zionts, S. And Wallenius, J., "An interactive programming method for solving multiple criteria problem", Management Science, 22(6), (1976).
22-Zionts, S. And Wallenius, J., "An interactive multiple objective linear programming method for a class of underlying nonlinear utility functions", Management Science, 29(5), (1983).