F76: Asset Investment & Effective Demand Planning

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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

Smart Manufacturing Track Sponsor