Ms. Industrial Engineering, Hidaj branch, Islamic Azad University, Hidaj, Iran
Abstract
In this article, for the first time, a new method is introduced to control the process of preparing materials and equipment in the factory using genetic-fuzzy combined algorithms, and in this method, the effect of external random factors in the form of demand and guidance of time uncertainty is specially considered. has been In the proposed model, parameters of time-varying member functions are used dynamically to describe the values of mixed sets of modeled outputs. The method presented in this article is based on four confirmed criteria, which are used based on real information extracted from the industrial town of Saujblag area, and each of the criteria is examined and analyzed in the following.
kheirkhah,I. and RanjiAghbolagh,H. (2024). Optimal inventory control in unstable conditions using fuzzy-genetic combined algorithm. Journal of Accounting and Management Vision, 7(92), 34-42.
MLA
kheirkhah,I. , and RanjiAghbolagh,H. . "Optimal inventory control in unstable conditions using fuzzy-genetic combined algorithm", Journal of Accounting and Management Vision, 7, 92, 2024, 34-42.
HARVARD
kheirkhah I., RanjiAghbolagh H. (2024). 'Optimal inventory control in unstable conditions using fuzzy-genetic combined algorithm', Journal of Accounting and Management Vision, 7(92), pp. 34-42.
CHICAGO
I. kheirkhah and H. RanjiAghbolagh, "Optimal inventory control in unstable conditions using fuzzy-genetic combined algorithm," Journal of Accounting and Management Vision, 7 92 (2024): 34-42,
VANCOUVER
kheirkhah I., RanjiAghbolagh H. Optimal inventory control in unstable conditions using fuzzy-genetic combined algorithm. Journal of Accounting and Management Vision, 2024; 7(92): 34-42.
