Use data analytics with python to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels
Supply Chain Optimization
Optimize the flow of goods with inventory management, demand forecasting and network design
Implement the Wagner-Whitin algorithm to minimize the total costs of production given a set of constraints.
Do you consider the fluctuation of your demand when you design a Supply Chain Network? In this article, we will build a simple methodology to design a Robust Supply Chain Network using Monte Carlo simulation with Python.
Implement inventory management rules based on a periodic review policy to reduce the number of stores replenishments.
A statistical methodology to segment your products based on turnover and demand variability
Use non-linear programming to find the optimal ordering policy that minimizes capital, transportation and storage costs
Where do you need to allocate your stock to meet customers demand and reduce your transportation costs?
Use linear programming to create an optimal recipe for a cheap meal bar that meets specific nutritional requirements
Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs