Reducing operations cost and Maximizing capacity utilization through Mixed Integer Programming Optimization.
About the customer
European Multinational organization that operates in the space of life sciences and pharma.
Supply Chain Optimization for European Life Science Client
Business Problem
The company was planning to build a comprehensive supply chain design and analysis tool that integrates a suite of features, including network design, inventory volume and lead time optimization, forecasting, and other critical functionalities to streamline and enhance supply chain performance.
Our Approach
- We used advanced LP and MIP models for creating individual apps for network optimization, inventory management, and supply chain risk identification.
- Customized for incorporating enhanced optimization capabilities, including features like quadratic objectives, priority handling, and robust infeasibility diagnosis, and fulfillment visualization.
The Result
- The platform supports quick model building and reduced solving time and handles complex supply chain scenarios efficiently.
- It improved supply chain efficiency through optimized inventory, reduced transportation costs leading to enhanced operational performance and cost savings.
Get in Touch
Have a project in mind?
Looking for collaboration?
Send an email to bd@ormae.com
for availability and enquires.