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
Samir Saci
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
Central Limit Theorem for Process Improvement with Python
Estimate the workload for returns management assuming a normal distribution of the number of items per carton received from your stores.
Supply Planning using Linear Programming with Python
Where do you need to allocate your stock to meet customers demand and reduce your transportation costs?
Lean Six Sigma with Python — Kruskal Wallis Test
How to replace Minitab with Python to perform Kruskal Wallis Test evaluating the impact of training on warehouse operators’ productivity