International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

An Integrated Inventory and Supplier Management System Using SAS: A Framework for Supply Chain Optimization

Ashok Jahagirdar

Abstract: This paper presents a comprehensive framework for an integrated inventory and supplier management system developed using SAS programming. The system addresses critical gaps in traditional supply chain management by combining real-time inventory control with strategic supplier intelligence in a unified analytical environment. Through the implementation of automated reordering algorithms, performance-based supplier selection, and predictive analytics, the system demonstrates significant improvements in operational efficiency and cost reduction. Experimental results show a 22% reduction in carrying costs, 94% on-time delivery performance, and 70% reduction in manual processes. The SAS-based architecture provides a scalable, robust solution for organizations seeking data-driven supply chain optimization.

Keywords: Inventory Management, Supplier Relationship Management, SAS Programming, Supply Chain Optimization, Automated Reordering, Data Analytics

How to Cite?: Ashok Jahagirdar, "An Integrated Inventory and Supplier Management System Using SAS: A Framework for Supply Chain Optimization", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 93-95, https://www.ijsr.net/getabstract.php?paperid=SR251103193340, DOI: https://dx.doi.org/10.21275/SR251103193340

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