Supply Chain Sustainability Reporting with Python
4 steps to build an ESG reporting focusing on CO2 emissions of your Distribution Network
Samir Saci
Lean Six Sigma with Python — Chi-Squared Test
Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network
Machine Learning for Retail Sales Forecasting — Feature Engineering
Understand the impacts of additional features (stock-out, store closing date or cannibalisation) on an ML model for sales forecasting.
Inventory Management for Retail — Stochastic Demand
Simulate the impact of safety stock level on inventory management performance metrics assuming a normal distribution of your demand
Inventory Management for Retail — Deterministic Demand
Build a simple model to simulate the impact of several replenishment rules (Basic, EOQ) on the inventory costs and ordering costs
Statistical Sampling for Process Improvement using Python
Use sample data to estimate the average lead time to process customer orders in the customer service of an elevator parts supplier.
Supply Chain Process Design using the Queueing Theory
Apply several principles of the Queueing Theory with Python to design a parcel packing process for an e-commerce fulfilment centre
Product Segmentation for Retail with Python
A statistical methodology to segment your products based on turnover and demand variability
Procurement Process Optimization with Python
Use non-linear programming to find the optimal ordering policy that minimizes capital, transportation and storage costs
Lean Six Sigma with Python — Logistic Regression
Replace Minitab with Python to perform a Logistic Regression to estimate the minimum bonus needed to reach 75% of a productivity target