Samir Saci | Data Science & Productivity

Data for Continous Improvement & Productivity

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Data Analytics for Supply Chain & Productivity

Data Analytics for Supply Chain & Productivity

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 and tasks automation.

Productivity

Automate Graphic Design using Python

Automate Graphic Design using Python

Use Python Pillow to automate the creation of hundred warehouse labels for the signage of picking locations

Automate PowerPoint Slides Creation with Python

Automate PowerPoint Slides Creation with Python

Automate Flash Cards Creation for Language Learning with Python

Automate Flash Cards Creation for Language Learning with Python

Supply Chain Optimization

Production Fixed Horizon Planning with Python

Production Fixed Horizon Planning with Python

Implement the Wagner-Whitin algorithm to minimize the total costs of production given a set of constraints.

Robust Supply Chain Networks with Monte Carlo Simulation

Robust Supply Chain Networks with Monte Carlo Simulation

Inventory Management for Retail — Periodic Review Policy

Inventory Management for Retail — Periodic Review Policy

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

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.

Supply Chain Sustainability Reporting with Python

Supply Chain Sustainability Reporting with Python

Build Interactive Charts using Flask and D3.js

Build Interactive Charts using Flask and D3.js

Inventory Management

Machine Learning for Retail Sales Forecasting — Features Engineering

Machine Learning for Retail Sales Forecasting — Features Engineering

Understand the impacts of additional features related to stock-out, store closing date or cannibalization on a Machine Learning model for sales forecasting

Inventory Management for Retail — Stochastic Demand

Inventory Management for Retail — Stochastic Demand

Inventory Management for Retail — Deterministic Demand

Inventory Management for Retail — Deterministic Demand

Transportation Operations

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Transportation Network Analysis with Graph Theory

Optimize E-Commerce Last-Mile Delivery with Python

Containers Loading Optimization with Python

Build a Shipment Tracking Tool using a Telegram Bot

Road Transportation Network Visualization

Lean Six Sigma

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Lean Six Sigma with Python — Chi-Squared Test

Statistical Sampling for Process Improvement using Python

Lean Six Sigma with Python — Logistic Regression

Central Limit Theorem for Process Improvement with Python

Lean Six Sigma with Python — Kruskal Wallis Test

Inventory Management

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Machine Learning for Retail Sales Forecasting — Features Engineering

Inventory Management for Retail — Stochastic Demand

Inventory Management for Retail — Deterministic Demand

Machine Learning for Store Delivery Scheduling

Machine Learning for Retail Demand Forecasting

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