when there is a plan for component replacement. However, there are hidden defects that lurk unnoticed. In this presentation, we will learn how to build a program to identify, eliminate, and/or manage hidden failures.
are too often designed and constructed without consideration to how target availability will be achieved. This presentation explores what factors lead to this all-too-common situation as well as the expected outcomes.
has overcome integration cost and complexity challenges by leveraging a cohesive multipurpose sensor and software platform called SmartDiagnostics. In doing so, a positive ROI was achieved in several months.
In this session, learn how understanding the personality styles of each team member helps to ensure that each person is leaning into their strengths and, therefore, working to the best of their potential.
A weekly collection of recommended articles and videos to boost your reliability journey. Right in your inbox
The team is excited to share and roll out the first of three tools being developed to help you, the practitioner, communicate your organization's alignment efforts and results with the United Nations SDG's.
With the goal of advancing asset reliability and predictive maintenance (PdM) to enable increasing production targets, multinational pharmaceutical company Merck has established a center of excellence known as the PdM HUB. This HUB provides centralized processes to deploy and sustain predictive maintenance technologies across the global Merck network.
It is hard to read anything about reliability, asset managements and predictive maintenance without hearing the term AI or its closely related cousins Predictive Analytics, Prescriptive Maintenance, Industry 4.0, Smart Manufacturing. All these new acronyms, terms and buzz words can be confusing to those us that have been implementing the fundamentals of reliability. This workshop aims to break down the hype of AI into what matters for us as reliability professionals as learned by a fellow reliability practitioner through failure and success of AI in reliability for the last three years. We will dive into the common questions like: What is AI? What is a good application for AI or what is not a good application? Do I need to have condition monitoring in place before AI?
The team is excited to share and roll out the first of three tools being developed to help you, the practitioner, communicate your organization's alignment efforts and results with the United Nations SDG's.
APM 4.0 is the combination of Industry 4.0, traditional APM, predictive analytics, digital twins, IIoT platforms and maintenance systems working together.
Maximo has been implemented and used by Pacific Northwest National Laboratory (PNNL) since the late ’90s; the system has been utilized mainly for Maintenance activities.
This is the approach that our organization took to leverage partnerships, organizational expertise, and a modern strategy to redefine how we implement reliability in smaller facilities while realizing the same program success that larger manufacturing sites have achieved.
In striving to achieve 40 more years of pipeline operation, Alyeska Pipeline Service Company is taking a hard look at maintenance activities to ensure they are performing the Right Maintenance on the Right Assets at the Right Time.
ChatGPT with ReliabilityWeb: Find Your Answers Fast