Road to RxM Track

presented by Plant Services

Prescriptive maintenance—often referenced as RxM—relies on advanced analytics to not only predict machines’ maintenance needs and recommend corrective courses, but also implement these changes autonomously.

It’s heady stuff–and is already being practiced by facilities that are at the forefront of digital transformation. These progressive manufacturing and power plants, mining operations, and utilities are already reaping the rewards of increased uptime and reduced expenditures.

Join us this year for the first-ever “Road to RxM” program, a dedicated track designed for MRO professionals to learn from their peers how digital maintenance and reliability approaches can benefit their facilities. This track is developed and moderated by the editors of Plant Services, a Putman publication that focuses on smart solutions for maintenance and reliability.

Plant Services, prescriptive maintenance

Plus! CMRP Exam

Conveniently located at the conference, attendees will have an opportunity to take the CMRP exam on September 26 from 1:30 pm – 4:30 pm.

Exam is provided by SMRP and a separate fee from the conference.  Visit https://www.smrp.org/Certification/Register-for-an-exam to register for the exam.

Road to RxM Track Sessions:

Day 1
Sep 25 2018

Remote Monitoring Redefines Reliability, OEM Value Proposition

Staring down a shortage of approximately 85 million high-skilled and medium-skilled workers globally by 2020, coupled with the workforce transformation stemming from new digital technologies collectively known as Industry 4.0,...
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Rolf Paeper, Ingersoll Rand
Rolf Paeper

Your IoT Devices May Be Weaponized (and What to Do About it)

One of the most significant areas for cyberattacks on businesses, networks, utilities and other critical infrastructure is through IoT devices. These attacks range from denial of service to ransomware and information...
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Penrose, Society of Maintenance and Reliability Professionals (SMRP)
Howard Penrose

Next-Generation Prescriptive Maintenance: A Case Study

This case study presentation will outline the next-generation maintenance approach that Eli Lilly is using to transition from time-based preventative maintenance to a machine learning proactive maintenance strategy, and how...
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Rendela Wenzel - Eli Lilly, Predictive and Prescriptive Maintenance
Rendela Wenzel
Day 2
Sep 26 2018

Secure Network Foundation Needed for Maintenance Analytics

University campuses have many challenges in common with large industrial facilities such as aging infrastructure, far-flung assets, limited resources and continuous uptime expectations. Sound familiar? At Penn State University (PSU),...
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Tom Walker, Secure Network Foundation Needed for Maintenance Analytics, Smart Industry Conference
Tom Walker

Eliminating Operational Disruptions Leveraging Machine Learning

Over the past decade several manufacturing companies have implemented Reliability Centered Maintenance (RCM) programs and moved from a more reactive maintenance program to a reliability centered approach to maintenance where...
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Aaron Beazley, Bentley Systems, Predictive Maintenance at ArcelorMittal
Aaron Beazley