The RELIABILITY Conference: 2 Days of Learning, Networking and Reliability Excellence

The RELIABILITY Conference® : TRAIN & TRANSFORM

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Challenging the Asset Criticality Analysis Status Quo

Challenging the Asset Criticality Analysis Status Quo

Arguments stem from a lack of understanding and alignment on what systems and equipment are important for business continuity and which ones are not.

TRC Keynote Industrial Cartoonist -Tom Fishburne

TRC Keynote Industrial Cartoonist -Tom Fishburne

Involve all team members in the creative process, and challenge the status quo to bring unique, remarkable ideas to life.

Becoming a High Reliability Organization Through Defect Elimination

Becoming a High Reliability Organization Through Defect Elimination

High reliability organizations (HRO) are organizations that effectively manage risks by identifying and controlling probability and consequence. Defect elimination is at the core to any organization wanting to improve or simply sustain their asset reliability.
 

Physical Reality of Reliability Function

Physical Reality of Reliability Function

This presentation will address a list of physically observed and undeniable facts that seriously impact the accuracy of the reliability predictions currently provided through reliability theory.

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A Simplified Approach to Developing Prioritized Equipment Reliability & Maintenance Strategies

A Simplified Approach to Developing Prioritized Equipment Reliability & Maintenance Strategies

TRC-2018 Learning Zone 48:37
by Mark Benak and Bill Closser

This presentation describes a method for prioritizing systems and equipment based upon the unique priorities of each company and the development of reliability and maintenance strategies for equipment based upon the unique operating conditions of the plant and equipment, yet still incorporating industry experience. 

Reliability Centered Maintenance (RCM)-Driven Asset Management for Major Capital Projects

Reliability Centered Maintenance (RCM)-Driven Asset Management for Major Capital Projects

The RELIABILITY Conference Case Study - 43:16 
by Walter Sanford, PinnacleART

You spent 10 billion USD conceiving, designing, constructing, and commissioning a major capital project for an offshore production asset. Now, how are you going to manage it? A comprehensive, proactive, risk-based maintenance plan is an integral part of your asset management program. Another essential component is a risk-based operational spare parts strategy – identification of the parts needed to complete proactive and corrective maintenance tasks for operating equipment, and how these parts will be made available when needed. This case study reviews the methodology used and the results achieved for using RCM to drive the comprehensive Risk Management strategy for a major capital project. Development included critical Asset Management elements, such as the Asset Hierarchy, Risk Based Maintenance program, Operator Driven Reliability, Risk Based Spare Parts Strategy, and all associated procedures and plans, fully populated in the CMMS and other management systems. The results demonstrated significant benefits over traditional approaches. For example, performing the detailed spare parts analysis and making risk-based decisions for stocking quantities resulted in a cost savings of over 10 million USD in reduced part stocking requirements, compared to following the vendor recommendations.

IIoT, Smart Industry and Artificial Intelligence for Manufacturing

IIoT, Smart Industry and Artificial Intelligence for Manufacturing

The RELIABILITY Conference Learning Session - 39:21 
by Rajiv Anand, Quartic.ai

In the manufacturing and industrial world, Industry 4.0, Smart Industry and Industrial IoT have created a lot of buzz lately. In software and computing, Machine Learning and Artificial Intelligence and Big Data are at the top of the hype cycle. Digital transformation and the digital enterprise are on the top of the strategic initiatives list of every board room and C-suite.

While IIoT and Smart Industry have the potential to transform entire supply chains, initial successful implementations focus on maintenance and asset reliability. Predictive maintenance is thus being transformed to prescriptive maintenance by combining existing and new condition monitoring sensors with Machine Learning and Pattern Recognition.

Is it all just hype and the fad of the season or as transformational and disruptive as it is being hyped up to be? How will it impact manufacturing, industrial maintenance and reliability, and the people responsible for running these operations? As a maintenance and reliability professional, what should I be preparing for, learning and applying to enable my company to benefit from this technological revolution?

This presentation will address why and how maintenance and reliability professionals should embrace these technologies and be the leaders for the digital transformation of their companies.

The talk will address some of the following topics:

  • That maintenance and reliability professionals and domain experts will now become some of the most valuable contributors to an enterprise's supply chain.
  • The technology will not--as hypothesized by fear mongers--replace humans. It will enable and empower humans to focus on creative and high value, rather than mundane contributions of their skills and expertise to advance the manufacturing industry.
  • That some of the unfulfilled value creation potential of reliability practices like RCM and Operator Driven Reliability.
  • That it is not as complicated, scary or risky as some laggards would have you believe; nor does it require everyone to become data scientists and programmers to implement it.
  • While cloud computing is one of the key enablers, Smart Industry does not mean running all your applications in the cloud.
  • That we can all begin our journey of learning and starting to apply these technologies today; without disruption to our existing operations and work processes.
Using MRO Data to Support Plant Reliability

Using MRO Data to Support Plant Reliability

The RELIABILITY Conference - 38:38 
by Steve Clayton and Brandon Coombs, Synovos