K Kalaichelvan, S Ramalingam, PB Dhandapani… - Mathematics, 2024 - mdpi.com
In this article, we present a novel methodology for inventory management in the pharmaceutical industry, considering the nature of its supply chain. Traditional inventory …
In recent years, there has been a growing surge of interest in the application of data analytics (DA) within the realm of supply chain management (SCM), attracting attention from …
K Kalaiselvan - Decision Making Advances, 2025 - dma-journal.org
Stock management holdings would be required in this scenario to reduce losses and increase profits. In light of this, we propose in this article that you build a model by combining …
This study introduces an inventory model for manufacturing that prioritizes product quality and cost efficiency. Utilizing fuzzy logic and mathematical programming, the model …
Stock management holdings would be required in this scenario to reduce losses and increase profits. In light of this, we proposed a model by combining time series data with …
K Iyappan, OM Teraiya, K Kalaiarasi, S Swathi… - … on Intelligent and Fuzzy …, 2024 - Springer
A single-item inventory model for deteriorating items under fuzzy sense is formulated and solved. In this paper, a methodology for identifying process inventory variables that …
S Anjum, S Kousar, N Kausar, N Aydin… - … in Management and …, 2024 - dmame-journal.org
Investigating algebraic structures in a non-conventional framework supplements mathematics for hard-nosed practical applications to the fields of theoretical biology and …
The k-Nearest Neighbors algorithm, a fundamental machine learning technique, typically employs the Euclidean distance metric for proximity-based data classification. This research …
K Iyappan¹, MCJ Anand, K Kalaiarasi… - Intelligent and Fuzzy …, 2024 - books.google.com
Stock management holdings would be required in this scenario to reduce losses and increase profits. In light of this, we proposed a model by combining time series data with …