Title of article :
Enhancing inventory models using fuzzy extended principles for optimization
Author/Authors :
Dubey ، Ankit VIT-AP University , Kumar ، Ranjan VIT-AP University
From page :
622
To page :
633
Abstract :
In this work, the authors have considered a physical world concern related to an inventory model under a Neutrosophic environment. We aim to perceive the ideal Total Cost (TC) for the proposed Inventory Management (IM) model without considering the shortage. To achieve this aim, we use trapezoidal Neutrosophic environments. For that purpose, we consider an example to clarify the results of the given model and present computational results. The purpose of the suggested method is to not only solve contemporary numerical problems but also handle new sorts of problems. Finally, we conclude our research by providing graphical, logical, and tabular evaluations with the prevailing methodologies.
Keywords :
Neutrosophic inventory model , trapezoidal fuzzy number , Fuzzy inventory model , Economic order quantity , Inventory management
Journal title :
Journal of Fuzzy Extension and Applications
Journal title :
Journal of Fuzzy Extension and Applications
Record number :
2778376
Link To Document :
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