Samir Saci | Data Science for Supply Chain

Data Analytics for Continuous Improvement

Welcome — I'm Samir.

Improve end-to-end supply chain performance with data analytics

Improve end-to-end supply chain performance with data analytics

In this blog, created by a senior supply chain engineer, you can find case studies of data analytics used for Supply Chain continuous improvement, cost reductions and sustainability. With 50+ articles, videos and Github repositories you will find the insights you're looking for.

Supply Chain Optimization

Robust Supply Chain Networks with Monte Carlo Simulation

Robust Supply Chain Networks with Monte Carlo Simulation

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.

Inventory Management for Retail — Periodic Review Policy

Inventory Management for Retail — Periodic Review Policy

Machine Learning for Retail Sales Forecasting — Features Engineering

Machine Learning for Retail Sales Forecasting — Features Engineering

Automation & Reporting

Deploy Logistics Operational Dashboards using DataPane

Deploy Logistics Operational Dashboards using DataPane

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.

Automate Budget Planning Using Linear Programming

Automate Budget Planning Using Linear Programming

Supply Chain Sustainability Reporting with Python

Supply Chain Sustainability Reporting with Python

Warehousing Operations

Supply Chain Process Design using the Queueing Theory

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

Deep Reinforcement Learning for AGV Routing

Deep Reinforcement Learning for AGV Routing

Reduce Warehouse Space with the Pareto Principle using Python

Reduce Warehouse Space with the Pareto Principle using Python

Transportation Operations

Transportation Network Analysis with Graph Theory

Transportation Network Analysis with Graph Theory

Use graph theory to optimize the road transportation network of a retail company

Optimize E-Commerce Last-Mile Delivery with Python

Optimize E-Commerce Last-Mile Delivery with Python

Containers Loading Optimization with Python

Containers Loading Optimization with Python

Lean Six Sigma

Lean Six Sigma with Python — Chi-Squared Test

Lean Six Sigma with Python — Chi-Squared Test

Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network

Statistical Sampling for Process Improvement using Python

Statistical Sampling for Process Improvement using Python

Lean Six Sigma with Python — Logistic Regression

Lean Six Sigma with Python — Logistic Regression

Performance Management

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Lead Times Variability and Supply Chain Resilience

Supply Chain Process Optimization Using Linear Programming

Logistic Performance Management Using Data Analytics

Sustainability

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Sustainable Logistics - Reduce Warehouse Consumables

Supply Chain Sustainability Reporting with Python