Optimizing Drug Supply Chain Using Data Analytics: A Case Study on Eli Lilly

Adhiita Consultancy ServicesHospital & Healthcare Management
LocationRemote
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Project Objectives:

To analyze the current drug supply chain process at Eli Lilly and identify areas for improvement using data analytics.

To develop a data-driven strategy for optimizing the drug supply chain to enhance efficiency and reduce costs.

To evaluate the impact of implementing data analytics on the drug supply chain performance at Eli Lilly.

Project Tasks:

Collect and analyze data related to the drug supply chain process at Eli Lilly.

Identify key performance indicators (KPIs) for measuring the effectiveness of the drug supply chain.

Develop predictive models using data analytics techniques to forecast demand and optimize inventory levels.

Implement a data-driven strategy to streamline the drug supply chain process and improve overall efficiency.

Evaluate the results of the data analytics implementation and assess the impact on the drug supply chain performance at Eli Lilly.

Educational Qualifications

B.TechB.ScB.ComBBAMBAPGDM

Required Skills

Inventory OptimizationSupply Chain AnalyticsPredictive Modeling & Forecasting