Smarter Production with AI: Boosting Efficiency in Manufacturing Operations

Learn how AI enhances production planning, bottleneck resolution, and real-time decision-making on the shop floor. This course empowers operations teams to boost throughput, reduce waste, and increase responsiveness using AI—without coding.

Course Description:

This 2-day foundational training introduces manufacturing operations professionals to the transformative power of AI in streamlining production processes, reducing waste, and increasing throughput. Participants will explore how AI tools are used in scheduling, process optimization, and resource allocation—without needing coding or deep technical skills.

The course offers a strategic yet practical overview of AI’s role in modern production environments, illustrated by real use cases and guided exercises. By the end of the program, attendees will be equipped to identify inefficiencies in their current operations and understand how to apply AI-powered insights to drive measurable improvements.

Who Should Attend:

• Manufacturing & Production Managers
• Plant Operations Leaders
• Industrial Engineers
• Continuous Improvement Specialists
• Lean Six Sigma Practitioners
• Factory Floor Supervisors seeking to modernize processes

Course Objectives:

Knowledge Acquisition:

• Understand the fundamentals of AI and its relevance to modern production systems
• Learn how AI improves scheduling, process control, and bottleneck analysis
• Explore real-world applications in discrete and continuous manufacturing
• Identify the limitations and ethical considerations of AI deployment on the shop floor

Skills Development:

• Analyze shop floor data and performance KPIs through an AI lens
• Use AI tools to visualize inefficiencies and performance gaps
• Develop skills to prioritize areas for AI application within production workflows
• Interpret AI-based output from scheduling or optimization platforms

Practical Application:

• Simulate production bottlenecks and resolution paths using AI logic
• Build a simple AI-assisted production schedule using demo data
• Apply root cause analysis with AI anomaly detection tools
• Create a 30-60-90 day roadmap for initiating AI-supported operational improvements

What will I Learn From it:

• Reduce production downtime and increase machine utilization
• Improve throughput with AI-supported shift and task scheduling
• Optimize raw material usage and reduce waste
• Use data more effectively to guide process improvement decisions
• Build internal support for AI projects by identifying high-impact, low-risk wins

Training Methodology

• Instructor-Led Sessions: Short lectures and real-world illustrations
• Interactive Demos: Walkthroughs of scheduling and optimization tools
• Group Exercises: Collaborate on mock floor data analysis and strategy design
• Hands-On Worksheets: Guide decision-making and track AI readiness

Requirement/
pre-requisites:

• Experience in manufacturing or production operations
• Familiarity with basic manufacturing KPIs (OEE, downtime, cycle time)
• No programming or technical background needed
• Laptop with Excel or web-browser access for tool interaction