The ‘AI-Powered Automated Warehouse Management’ course immerses you in a booming sector where demand for skilled workers is growing exponentially. Automation and artificial intelligence are transforming warehouse management, creating a pressing need for professionals capable of leading this technological revolution. Through this course, you will acquire the skills required to use sensors, actuators and identification systems, as well as to apply optimisation algorithms for inventory management. You’ll learn about applied robotics, vision systems and automated inspection, and how to integrate AI with ERP and WMS systems. Furthermore, you’ll be prepared to tackle challenges relating to safety, traceability and cybersecurity in an increasingly digitalised environment.
AI-powered automated warehouse management
AI Academy
8 pm
Introduction
Objectives
· Understand the basic concepts of automated warehouses for practical application. · Identify key sensors and actuators in automated control systems. · Analyse the architecture of control systems to improve warehouse management. · Apply robotics to optimise inventory management in automated warehouses. · Implement optimisation algorithms to improve stock placement. · Use machine vision systems for automated inspection and quality control. · Integrate artificial intelligence into logistics decision-making to increase efficiency.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO AUTOMATED WAREHOUSES TEACHING UNIT 2. SENSORS, ACTUATORS AND IDENTIFICATION SYSTEMS TEACHING UNIT 3. ARCHITECTURE OF AN AUTOMATED CONTROL SYSTEM TEACHING UNIT 4. ROBOTICS APPLIED TO WAREHOUSE MANAGEMENT TEACHING UNIT 5. OPTIMISATION ALGORITHMS FOR STOCK LOCATION TEACHING UNIT 6. VISION SYSTEMS AND AUTOMATED INSPECTION TEACHING UNIT 7. ARTIFICIAL INTELLIGENCE IN LOGISTICS DECISION-MAKING TEACHING UNIT 8. INTEGRATION OF ARTIFICIAL INTELLIGENCE WITH ERP AND WMS TEACHING UNIT 9. SECURITY, TRACEABILITY AND CYBERSECURITY TEACHING UNIT 10. SIMULATION AND CONTROL OF A SMART WAREHOUSE
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