Decoding Strategic Asset Management
In the last two decades, facilities departments have begun to leverage new technologies to help make their teams more efficient while ensuring safe, comfortable workplaces for their staff. Yet despite access to more data than ever before, many organizations still struggle with Asset Investment Planning. This results in capital funds being misspent while the facilities team struggles to manage a massive backlog of deferred maintenance. This session seeks to educate on the value of Asset Investment Planning, while also sharing best practices for facilities teams to help justify their investment needs by leveraging data.
Jason Petri – Brightly Software A Siemens Company
Key Factors for a Successful Machine Monitoring Integration
The success of a machine monitoring integration is determined by three key factors. The first factor being the complete buy-in of the management team that is pushing for this digital optimization integration. The second factor is a commitment from the operations and maintenance team to learn and utilize this new digital tool and the final factor being that the data coming from the digital platform is accurate and easily accessible. I will use the factual case study of LeClaire Manufacturing to showcase how this aluminum casting foundry and machine shop turned their machine monitoring integration into an opportunity to generate over 5 million dollars in additional revenue in just three years by following the three key factors of machine monitoring integration.
Chris B. Moore – Caddis Systems
Decoding Demand: The Top 5 Considerations for Seamless Demand Planning in Manufacturing using Machine Learning
Join us for a practical discussion on demand planning in manufacturing, focusing on key considerations for those new to incorporating machine learning. We cut through the complexity, providing actionable insights to guide you through seamless integration. Learn firsthand about the benefits of machine learning and gain a clear understanding of how to navigate potential challenges. Discover how predictive analytics with machine learning can elevate your ability to anticipate and respond to the market. This talk is designed for industry professionals looking to optimize their approach, delivering straightforward guidance on harnessing the power of machine learning for effective demand planning.
Paul Ausserer – Marquis Data
Marquis Data
As the founder and CEO of Marquis Data, Paul has dedicated over 25 years to empowering decision-makers across diverse industries and company sizes. With a mission to help people make better decisions faster, he combines a unique blend of technology and data expertise with rich, hands-on business experience. Paul works directly with business executives daily, guiding them through transformational projects that enhance their decision-making capabilities and drive business value.
Caddis Systems
As the Vice President at Caddis Systems, Chris is responsible for the strategy, tactics, and programs to create interest, demand, and recognition for Caddis Systems and its products and services. With over 5 years of experience in this role, Chris has helped clients in various industries to monitor machine up-time and maximize machine productivity in all departments, using cutting-edge predictive maintenance technology and data-driven insights.
Brightly Software A Siemens Company
Jason has worked at Brightly for over a decade, specializing in working with manufacturing companies interested in their suite of products. He has spoken to companies of all shapes and sizes to better understand their needs within maintenance and asset management. Jason resides in Holly Springs, NC.
Tracks: 3D/Additive, Automation, Cutting, Laser, Forming & Fabricating, Job Shop, Lean, Management, Marketing & Sales, Robotics, Smart Manufacturing, Stamping, Workforce Development
Sessions | Member Price | Non-Member Price |
---|---|---|
Individual Sessions | $195 | $220 |
Workshops | $499 | $599 |
Best Value Full Conference (5-8 Sessions)
| $795 | $900 |
CCAI Finishing Conference | Member Price | Non-Member Price |
---|---|---|
1 Session | $112.50 | $125 |
2 Sessions | $202.50 | $225 |
3 Sessions | $270 | $300 |
4-8 Sessions | $405 | $450 |
AWS Welding Conference | Member Price | Non-Member Price* |
---|---|---|
One-Hour Sessions (W7, W8) | FREE | FREE |
Two-Hour Sessions (W1, W2, W12, W13, W14) | $95 | $150 |
Weld-Ed Conference (W5) | $50 | $75 |
Half-Day Sessions (W3, W10, W15) | $345 | $430 |
Full-Day Sessions (W4, W6, W9, W11) | $565 | $665 |
Professional Program (W16) | $395 | $495 |
*Non-member price for AWS Welding Full-Day Sessions only includes a one-year AWS Individual Membership. |
Join a FABTECH partner association for member pricing.