International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Optimizing Hospital Supply Chain Performance with Predictive Analytics and Forecasting Techniques: A Data-Centric Approach to Inventory Management and Crisis Preparedness

Author(s) Mr. Manu R Dixit, Dr. Sandeep K Shivhare
Country India
Abstract In the landscape following the pandemic, hospital supply chains face increased demands for resilience, operational agility, and strategic foresight. Through multi-source analytics, this study presents a modular, data-driven framework for diagnosing and enhancing the performance of healthcare supply chains. The framework systematically identifies inefficiencies in lead time, order fulfillment, and inventory turnover by integrating ABC inventory classification, KPI deviation mapping, stockout risk modeling, and SWOT-based strategic assessment. Utilizing curated datasets from financial, inventory, patient, staff, and vendor domains, the analysis facilitates reproducible diagnostics and insights aligned with stakeholder needs. The key findings disclose significant performance deficits, such as a fulfillment rate shortfall of 54.8% and a stockout rate of 59.98%, underscoring the urgent need for targeted, evidence-based interventions. The suggested method provides a scalable framework for healthcare organizations to bolster inventory governance, improve vendor coordination, and strengthen crisis preparedness through predictive analytics and strategic benchmarking.
Keywords Hospital Supply Chains, Inventory Governance, KPI Deviation Mapping, Stockout Risk Modeling, Crisis Preparedness
Field Business Administration
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-04
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.57210
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E-ISSN 2582-2160
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