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Duration 21 hours
Course Outline
Overview of AI in Supply Chain and Logistics
- Emerging trends in smart logistics.
- AI compared to traditional analytics in supply chain management.
- Key technologies and platforms.
AI for Demand Forecasting
- Time-series forecasting techniques using machine learning.
- Managing seasonality and trend components.
- Enhancing forecast accuracy through historical data analysis.
Inventory Optimization and Replenishment
- AI-driven prediction of stock levels.
- Calculations for safety stock and reorder points.
- Integrating AI with ERP and WMS systems.
Route Optimization and Fleet Intelligence
- Shortest path algorithms and delivery routing strategies.
- Traffic-aware dynamic route planning.
- AI-enabled transport scheduling.
Warehouse Automation and Robotics
- AI applications in picking, sorting, and storage automation.
- Computer vision for shelf monitoring.
- Coordination with AGVs and robotic arms.
Real-Time Analytics and Dashboarding
- Creating live dashboards using Tableau and Python.
- Monitoring KPIs via real-time data streams.
- Generating alerts and managing exceptions.
Case Study and Capstone Project
- Analysis of a multi-node supply chain scenario.
- Application of forecasting and routing models.
- Presentation of a data-driven logistics optimization plan.
Summary and Next Steps
Requirements
- A solid grasp of supply chain or logistics operational workflows.
- Practical experience with data analysis or business intelligence tools.
- Foundational familiarity with programming or scripting languages.
Target Audience
- Supply chain analysts.
- Logistics managers.
- Industrial planners.
Testimonials (4)
How to use and explore AI for daily works
Giovani Natalia - PT Astra Honda Motor
Course - AI for Supply Chain and Manufacturing Logistics
real life implementation, very insightful
Olivia Audrey - PT Astra Honda Motor
Course - AI for Supply Chain and Manufacturing Logistics
can learn about ai (colab, n8n)
Jeanny Puspita Sari - PT Astra Honda Motor
Course - AI for Supply Chain and Manufacturing Logistics
How to use & explore AI on daily work