Implementing Reliability Centered Maintenance
Dr. Klaus Blache, Director of Reliability & Maintainability Center; University of Tennessee, Knoxville
When it comes to asset management and equipment reliability, how do we get all of the ingredients to blend together? Learn about a strategy that brings all of the organization’s functions, people, and processes into a collective roadmap for asset management. Blending benchmarking, CMMS implementation, planning and scheduling, organizational partnerships, storerooms/materials management, procurement, management philosophies, leadership, reliability centered maintenance, and root cause analysis into an approach for your success.

Panel I: Integrating Training, Technology, and Total Produtive Maintenance
Moderator: Derek Bartley  Instructor and Consultant; Peak Performance
  Marty Denton  Mechatronics Instructor; Peak Performance
  Tyler Koitka  Founder; Blueprint Intelligence
  Crystal Renner  Corporate Director, Human Resources; Miller Industries
This discussion centers on the critical role that training plays in the success of maintenance and operational strageties. The panel addresses how Mechatronic principles and TPM align to minimize downtime and optimize workforce skills. Panelist share real world applications and success stories while highlighting best practices for driving operational excellence.

Panel II: Leveraging Artificial Intelligence (AI) and Machine Learning (ML)
Moderator: Danny Norman  Advanced Manufacturing Consultant; University of Tennessee, Knoxville
  Satish Vadlamani  Director of Data Science and BI; Kenco Group
  Greg Sutherland  VP Information Technology; McKee Food Corporation
Artificial Intelligence (AI) and Machine Learning (ML) have emerged as game-changing technologies that can revolutionize maintenance practices and enhance asset reliability. This discussion focuses on leveraging AI and ML to drive efficiency, optimize operations, and avoid catastrophic failures. By harnessing the vast amounts of data generated, organizations can gain valuable insights and make data-driven decisions that lead to effective condition-based maintenance. Hear how to leverage AI and ML tools to analyze sensor data, identify patterns, and predict equipment failures before they occur.

Panel III: Smart Factory Institute Industrial Maintenance Apprenticeship Program
Moderator: Skylar Randolph  Director of Business Development; Peak Performance
  Michelle McClure  Site Manager; Engineered Floors
  Robert Kennedy  East TN Apprenticeship Director; State of TN Apprenticeship Department
  Joey Stokes  Instructor; Peak Performance
This session will bring together manufacturers to discuss the pivotal role of apprenticeship programs in shaping the future workforce of industrial maintenance. The panel will explore key topics such as the skills gap in the manufacturing sector, the benefits of hands-on training, and the value of collaboration between the Smart Factory Institute and industry leaders. Hear firsthand how these programs not only equip participants with essential technical skills but also foster a culture of continuous learning and innovation. Whether you’re an industry professional, an educator, or someone interested in workforce development, this discussion will provide valuable insights into how the Smart Factory Institute is leading the charge in preparing the next generation of maintenance professionals for the challenges of tomorrow.

Data Driven Sustainability: Sustainability Begins Now

Chan Gill  Vertical Market Manager - Factory Automation; Phoenix Contact
Sustainability & your Net Zero Journey begin NOW! Join us to learn how sustainability doesn’t have to be complicated and expensive.  It can lead to greater efficiency in production and condition based monitoring of machinery/operations.  Start small and scalable – learn how simple digitalization and a purpose driven plan is the starting point. 

Are You Using Your Maintenance KPI's the Wrong Way?
Kevin Meyers  Director of Application Develpment; FocustApps

A crucial outlook on choosing and utilizing Key Performance Indicators (KPIs) for exceptional maintenance performance is essential. We require specific KPIs to manage our limited maintenance resources effectively and ensure plant success. While some KPIs are necessary, certain widely-used KPIs can have adverse effects and may hinder company performance. Additionally, some metrics are simply time-wasters. By consolidating and evaluating KPIs, we can identify and utilize critical KPIs effectively.