TACKLING UNCERTAINTY: DEFUZZIFICATION STRATEGIES FOR FACILITY LOCATION PROBLEMS
Abstract
Investigating the unknowns in the dynamic field of global marketing, a unique study presents a novel, fuzzy, two-tiered model for facility placement. This novel model has a single product, one method of transportation, two suppliers, and two locations for manufacturing and warehousing. Because of space limits in factories and stockrooms, the model employs triangular fuzzy numbers to account for demand, total expense, stock level cost, capacity, and lead time, which are unpredictable. To find the best answer, we also look at other defuzzification methods, such as the fuzzy ranking approach, the fuzzy centroid method, and the fuzzy entropy method. To evaluate the effectiveness of any approach, we carefully examine the costs that arise from it. To verify the model’s effectiveness, we provide a numerical example and comprehensively evaluate its results.
Publication Title
Palestine Journal of Mathematics
Recommended Citation
Kaur, G., Majumder, A., Pandey, P., & Mishra, S. (2025). TACKLING UNCERTAINTY: DEFUZZIFICATION STRATEGIES FOR FACILITY LOCATION PROBLEMS. Palestine Journal of Mathematics, 14 (1), 506-516. Retrieved from https://digitalcommons.memphis.edu/facpub2/3252
