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Evaluation & Comparison of COA & SA Optimization Algorithms in Facility Location (Warehouse)

عنوان مقاله: Evaluation & Comparison of COA & SA Optimization Algorithms in Facility Location (Warehouse)
شناسه (COI) مقاله: COPSS01_055
منتشر شده در اولین کنفرانس ملی بهینهسازی سیستمهای تولیدی و خدماتی در سال 1399
مشخصات نویسندگان مقاله:

Seyed Mostafa Khatibi - M.Sc. Industrial engineering Graduated, Sadjad University of Technology, Mashhad, Iran;
Hanieh Mogharebi - Quality Assurance Expert of Zaveh Torbat Cement Factory;

خلاصه مقاله:
The issue of housing is a Vital Aspect of the Supply Chain. In our research, a mathematical model of the single-capacity warehouse problem is used to determine the optimal storage location in the fertilizer distribution; Which has been solved using the exact method and algorithm. Moreover, their test results have been compared; The results show that the innovative approach is more efficient because the precise process requires more computation time. Our suggestion for this article is to solve the problem with a clear numerical example of two specific and meta-functional methods. Solving the problem by opening ten warehouses costs $ 8,636,551 in 5.89 seconds. Comparing the innovative and accurate approach leads to the efficiency of the meta-innovative algorithm.

کلمات کلیدی:
Supply Chain, Metaheuristic Simulated Annealing, Cuckoo Optimization Algorithm, Facility Location.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1163766/