Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This investigation proposes a novel approach in trade credit model for deteriorating items that incorporates default risk and reminder costs—drawing inspiration from rural Indian practices—to reduce customer defaults and enhance retailer profitability. The model optimizes decision variables using the generalized reduced gradient method, demonstrating that reminder costs can significantly boost profits.
Keywords:
Inventory Model, Two-level trade-credit, Default risk, Reminder cost, New approach
Cite Article:
"New approach in two-level trade credit EOQ model with default risk and reminder cost", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b332-b336, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508145.pdf
Downloads:
000471
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator