Simplified Operations: Optimize healthcare supply chain

Project Overview
Efficient healthcare supply chain management is essential for timely delivery of medical supplies. This Power BI dashboard helps healthcare managers track KPIs across inventory, procurement, logistics, and demand forecasting, integrating data from multiple sources for end-to-end visibility. It optimizes operations, reduces costs, and ensures vital resources are available when needed.
Problem Statement
Managing healthcare supply chains involves tracking inventory, supplier performance, and operations manually, causing delays and inaccurate forecasts. The challenge was creating an interactive dashboard to provide real-time visibility, track key metrics, and integrate data from various systems for enhanced efficiency.
Key Findings
- Real-Time Data Visibility: Healthcare supply chain teams faced delays and inaccurate forecasts due to manual management of variables, particularly in pharmaceutical and medical equipment supply.
- Operational Inefficiency: The challenge was providing healthcare decision-makers with accurate, real-time data insights for improved operational efficiency, especially where delays could impact patient care.
- Data Integration Complexity: Integrating data from various sources, such as internal databases, suppliers, and logistics partners, was crucial for a unified view of the healthcare supply chain.
Implemented Solution
A Power BI dashboard integrated healthcare supply chain data, featuring demand forecasting, real-time metrics, and role-based security for efficient planning and supplier tracking.
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Data Integration & ETL Process:
Data from SQL Server, Excel, and third-party logistics systems was cleaned, transformed, and loaded into Power BI, providing a unified view of the healthcare supply chain.
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Key KPIs & Metrics:
The dashboard tracks Inventory Turnover, Order Fulfillment Rate, Lead Time, Supplier Performance, Demand Forecast Accuracy, and Cost Per Unit to optimize stock levels, efficiency, and costs.
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Forecasting & Demand Planning:
Python scripts using ARIMA and machine learning algorithms were used to generate demand forecasts, integrated into Power BI for real-time supply chain planning.
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Dashboard Design & Interactivity:
The Power BI dashboard features an Executive Overview, Interactive Drilldowns, Time-Driven Analysis, and Supplier & Logistics Insights for actionable healthcare supply chain optimization.
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Security & Access Control:
Row-level security (RLS) ensured healthcare managers had full access to data, while regional/department managers could only view relevant data for their areas.
Results
The Power BI dashboard improved healthcare supply chain operations by offering real-time insights, enhancing decision-making, reducing procurement costs, and improving forecast accuracy. It boosted operational efficiency with better inventory management, reduced lead times, and increased on-time delivery. The user-friendly design led to high adoption, making it essential for maintaining a reliable supply of critical medical products.