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.
Deploy Reporting Solutions using DataPane to Support Warehousing Logistics Operations for E-Commerce. In this article, we will design a simple architecture to deploy an interactive dashboard for Warehousing Operations using the Python Library DataPane.
Use graph theory to optimize the road transportation network of a retail company
Select the projects that maximize the return on investment, follow the management guidelines while respecting budget constraints
4 steps to build an ESG reporting focusing on CO2 emissions of your Distribution Network
Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network
Understand the impacts of additional features related to stock-out, store closing date or cannibalization on a Machine Learning model for sales forecasting
Simulate the impact of safety stock level on inventory management performance metrics assuming a normal distribution of your demand
Build a simple model to simulate the impact of several replenishment rules (Basic, EOQ) on the inventory costs and ordering costs