Leveraging AI and Advanced Manufacturing Technologies for Smarter Industrial Automation
2026-03-29
· Gross Automation
· 6 min read
Leveraging AI and Advanced Manufacturing Technologies for Smarter Industrial Automation: A Case Study
In today’s competitive industrial landscape, manufacturers face increasing pressure to optimize production efficiency while reducing downtime and costs. Traditional manual processes like servo tuning and machining often consume valuable time and resources, limiting responsiveness and innovation. The integration of AI-driven automation and advanced manufacturing technologies such as metal 3D printing is transforming how companies approach these challenges. This case study explores how leading firms have successfully implemented AI for servo system tuning and adopted metal additive manufacturing to future-proof their operations and boost productivity.
The Challenge: Overcoming Manual Tuning and Manufacturing Constraints
Lengthy Manual Servo Tuning
Servo systems are critical for precise motion control in automated production lines. However, tuning these systems manually can be a painstaking process requiring expert knowledge and extensive trial and error. On-site tuning often takes hours or even days, during which production may be halted or slowed, directly impacting throughput and operational costs.
High Costs and Complexity of New Manufacturing Technologies
While advanced manufacturing methods like metal 3D printing offer tremendous potential for customization, rapid prototyping, and complex part fabrication, many manufacturers hesitate to adopt them due to perceived high investment costs and integration complexity. Without clear guidance and proven solutions, companies risk expensive missteps or underutilization of new technologies.
The Need for Future-Proofing Automation Investments
With Industry 4.0 accelerating, manufacturers must ensure their automation infrastructure can evolve with emerging technologies. Investing in equipment and processes that support AI integration and additive manufacturing capabilities is essential to maintain competitiveness and agility.
The Approach: Integrating AI and Metal 3D Printing in Industrial Automation
AI-Driven Servo Tuning: Mitsubishi’s Physics-Based Model
A breakthrough solution emerged from Mitsubishi Electric in collaboration with the National Institute of Advanced Industrial Science and Technology (AIST). They developed an AI technology that leverages physics-based models to drastically reduce on-site servo tuning time. Instead of relying solely on empirical adjustments, this AI system predicts optimal tuning parameters by simulating servo behavior under various conditions.
This approach enables:
- Automated parameter optimization without extensive manual intervention
- Significant reduction in tuning time, often from hours to minutes
- Improved servo performance and stability through precise control adjustments
Metal 3D Printing: DMG MORI’s Hybrid Machining Centers
DMG MORI, a leader in machine tool manufacturing, has pioneered hybrid machining centers that combine traditional subtractive methods with metal additive manufacturing via Directed Energy Deposition (DED). This technology allows manufacturers to:
- Produce complex geometries that are difficult or impossible with conventional machining
- Repair or add features to existing metal parts, extending equipment life
- Rapidly prototype and iterate designs directly on the shop floor
By integrating metal 3D printing into their machining centers, DMG MORI provides a flexible, cost-effective solution that bridges the gap between additive and subtractive manufacturing.
The Solution: Real-World Implementation and Product Integration
Case Example: Reducing Servo Tuning Time with Mitsubishi AI Technology
A mid-sized automotive component manufacturer struggled with frequent servo tuning during production line changeovers. Each tuning session took approximately 3 hours, causing costly downtime and scheduling challenges.
By adopting Mitsubishi’s AI-driven servo tuning system, the company implemented the following:
- Installed Mitsubishi servo amplifiers equipped with AI tuning capabilities
- Trained maintenance staff on the AI interface and tuning workflow
- Integrated the system with existing PLCs and HMIs for seamless control
Results:
- Tuning time reduced from 3 hours to under 20 minutes per session
- Increased line uptime by 15%
- Reduced need for specialized tuning expertise on-site
This example demonstrates how AI-enabled automation equipment can deliver immediate operational improvements.
Case Example: Enhancing Manufacturing Flexibility with DMG MORI Hybrid Machining
A precision aerospace parts manufacturer sought to improve turnaround times and reduce scrap rates for complex titanium components. Traditional machining alone was insufficient for the intricate internal channels required.
The company invested in DMG MORI hybrid machining centers featuring metal 3D printing capabilities and:
- Developed new process workflows combining additive and subtractive steps
- Trained operators on the DED additive process and quality control
- Integrated advanced sensors and control components, such as ABB’s CFDB5-3-93250 modules, for real-time monitoring
Results:
- Reduced lead times by 30%
- Lowered material waste by 25% through near-net-shape fabrication
- Enabled rapid prototyping and design iterations on-site
This hybrid approach exemplifies how additive manufacturing can complement existing machining processes for smarter production.
Practical Guidance: How Manufacturers Can Adopt AI and Advanced Manufacturing
Step 1: Assess Current Automation and Manufacturing Capabilities
- Identify bottlenecks such as long servo tuning times or machining limitations
- Evaluate existing equipment compatibility with AI-enabled control systems and additive manufacturing
- Consider scalability and integration with Industry 4.0 initiatives
Step 2: Select AI-Enabled Servo Systems and Additive Manufacturing Equipment
- For servo tuning, consider Mitsubishi servo amplifiers with AI tuning features proven to reduce setup time
- For additive manufacturing, explore hybrid machining centers from DMG MORI that combine metal 3D printing with traditional machining
- Incorporate reliable control components from ABB, such as CFDB2-8-18650 modules, to support advanced automation and monitoring
Step 3: Train Staff and Develop New Process Workflows
- Provide hands-on training for maintenance and production teams on AI tuning interfaces and additive manufacturing operation
- Develop standard operating procedures that integrate AI-driven adjustments and hybrid machining steps
- Use data analytics to continuously optimize processes and equipment performance
Step 4: Monitor Performance and Iterate
- Implement sensors and monitoring devices like ABB’s SCA06B05P0D2 for real-time feedback
- Analyze production data to identify further improvement opportunities
- Plan for incremental upgrades to maintain future readiness
Results: Tangible Benefits of AI and Advanced Manufacturing Integration
Manufacturers adopting AI-driven servo tuning and metal 3D printing technologies report:
- Significant reductions in setup and tuning times, leading to higher equipment availability
- Enhanced production flexibility through hybrid manufacturing capabilities
- Lower operational costs via reduced scrap, rework, and downtime
- Improved product quality and consistency due to precise control and additive precision
- Future-proofed automation systems capable of integrating emerging Industry 4.0 technologies
Conclusion: Partnering with Gross Automation for Smarter Industrial Automation
Integrating AI and advanced manufacturing technologies is no longer a distant goal but a practical necessity for modern industrial automation. By leveraging AI-driven servo tuning solutions from Mitsubishi and hybrid machining centers from DMG MORI, manufacturers can dramatically improve productivity, reduce costs, and stay ahead in a rapidly evolving market.
Gross Automation is your trusted partner for sourcing and implementing these cutting-edge automation products and solutions. Our expert team can help you select the right AI-enabled servo systems, metal 3D printing equipment, and control components from leading manufacturers like ABB to optimize your production processes.
Contact Gross Automation today to explore how smarter automation technologies can transform your manufacturing operations.
Quick Answers from Products
What is the SKU for the ABB Accuray Smart Process Control Board?
The SKU for the ABB Accuray Smart Process Control Board is 086345-004.
From: 086345-004 by ABB - Process AutomationWhat is the SKU for the ABB SWPBP Smart Weight PWA?
The SKU for the ABB SWPBP Smart Weight PWA is 086391-002.
From: 086391-002 by ABB - Process AutomationWhat is the manufacturer of the 086391-002?
The manufacturer of the 086391-002 is ABB - Process Automation.
From: 086391-002 by ABB - Process AutomationRelated Articles
Best Practices for 24V Power Distribution and Control Cabinet Wiring in Industrial Automation
7 min readBest Practices for Machine Safety: Emergency Stop Circuit Design and Compliance with Standards
6 min readIndustrial Automation Safety: Designing Reliable Control Systems for Critical Applications
7 min read