TRC-2019 Learning Zone (43 minutes)

by Travis Hohn and Jorgan Peadon, Sammamish Plateau Water

Sammamish Plateau Water embarked on the implementation of Reliability Centered Maintenance (RCM) to advance their overall asset management program and optimize maintenance strategies. Initial expected outcomes included reduced maintenance time, trained operators, documented processes and strategies and a comprehensive dynamic preventive maintenance program. The initial program was facilitated by a consultant and consisted of a pilot fully reviewing 2 critical facilities and staff training. Since the pilot staff have been working in-house to review every facility, develop preventive work plans with new work tasks focused on the RCM findings, and development standard operation procedures. The RCM project has been enlightening and frustrating. The presenters will examine how the RCM process began, the objectives and the challenges encountered. Including how it has optimized maintenance strategies, challenged the status quo of operation and maintenance tasks and mindset and how the organization is moving forward to fully complete and implement Reliability Centered Maintenance as a way of doing business.

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IMC Presentation (53:08 minutes)

by Richard Wurzbach, MRG Labs

American Axle and Manufacturing Upgrade and Consolidation Story with Zero Production Downtime

American Axle and Manufacturing Upgrade and Consolidation Story with Zero Production Downtime

Best practices for a Maximo upgrade – timeline and budget Challenges overcome and lessons learned Business case for zero downtime tool – how it impacted upgrade and operations
Establishing Expectations and Requirements for Performance Digital Twins

Establishing Expectations and Requirements for Performance Digital Twins

Jared Hartness, GE Digital

Implementing digital twins is becoming a strategic necessity for many industrial companies. In this session, learn the basics of how digital twin models should be built, how to scale and implement these models on assets and systems to create a twin, and discover best practices for how to leverage these twins operationally to predict, diagnose and forecast performance degradation as a part of your reliability work processes.

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