A Manager's Guide to Efficiency and Forecasting
- Description
- Curriculum
Course Overview
This course is specifically designed for operations, supply chain, and manufacturing leaders who are tasked with running a leaner, faster, and more resilient business. We will move beyond the theoretical and focus on the practical applications of AI that drive tangible improvements in efficiency, forecasting, and quality. You will learn how AI is used to predict demand, optimize inventory, prevent equipment failures, and streamline complex logistics. The curriculum is built for managers, focusing on strategic implementation, measuring ROI with operational KPIs, and leading your team through the adoption of new, intelligent systems.
Target Audience
This course is for Operations Managers, Supply Chain Analysts, Plant Managers, Logistics Coordinators, and any leader responsible for the efficiency and performance of core business operations.
Aim and Learning Outcomes
By the end of this course, you will be able to:
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Identify high-impact opportunities for AI within your supply chain, manufacturing, and logistics processes.
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Understand how machine learning is used for demand forecasting and inventory optimization.
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Evaluate the business case for predictive maintenance and AI-powered quality control.
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Develop a framework for implementing AI projects and measuring their success using operational KPIs.
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Lead your team through the changes associated with human-robot collaboration and AI-driven workflows.
Course Breakdown
|
Module |
Objective |
Description |
|
Module 1: The Proactive Operation |
Understand how AI transforms operations from a reactive to a proactive and predictive function. |
– The Evolution of Operations: From Lean to Intelligent – AI’s Core Capabilities in Operations: Optimization, Prediction, and Automation – Real-World Examples: Amazon, John Deere, Tesla – Key AI Concepts for Operations Leaders |
|
Module 2: AI in Supply Chain & Logistics |
Master the use of AI to create a more resilient and efficient supply chain. |
– AI-Powered Demand Forecasting – Intelligent Inventory Management – Dynamic Route Optimization for Logistics – Supply Chain Risk Detection with AI |
|
Module 3: Intelligent Manufacturing & Maintenance |
Learn how AI is revolutionizing the factory floor and asset management. |
– Computer Vision for Quality Control – The Power of Predictive Maintenance – AI for Process Optimization (Digital Twins) – Human-Robot Collaboration in Smart Factories |
|
Module 4: Implementing & Measuring AI |
Develop the skills to successfully manage and measure the impact of AI projects in an operational setting. |
– Integrating AI with Existing Systems (ERP, MES) – Managing an AI Operations Project – Measuring Success: Operational KPIs (OEE, Uptime, etc.) – Building the Business Case for an AI Project |
|
Module 5: The Future-Ready Operational Team |
Lead your workforce through the transition to an AI-augmented operational environment. |
– Reshaping Roles on the Factory Floor and in the Warehouse – Upskilling Your Team for the Future – Ethical Considerations in Operational AI – Creating a Culture of Continuous Improvement with AI |
