Improve Asset Reliability & Efficiency at MaximoWorld

Click here

MaximoWorld 2025: Actionable Insights for Reliability Success.

Click here

Sign Up

Please use your business email address if applicable

MaximoWorld 2025
International Maintenance Conference 2025
The RELIABILITY Conference® 2026
Workshops
Bookstore
Digital Zone
About Us

Visite nuestro sitio en Español

“R.A.I.” the Reliability.AITM Chatbot

Start

digitalization

Cycle-based Maintenance Made Simple In The Cloud
internet of things digitalization (iot)

Cycle-based Maintenance Made Simple In The Cloud

As digital transformation finds its way into maintenance planning, the planner now has the ability to graduate their program from calendar to cycle-based PM's.

Architect Your Way to Industry 4.0!
internet-of-things-digitalization-iot

Architect Your Way to Industry 4.0!

The future of all asset-intensive industries is at stake. Industry 4.0 is the future. Business leaders must ensure their organization can bridge the gap between where their organization is today and their vision.

Reliability Radio EP 289: Gail Petersen & Jack Lucy
internet-of-things-digitalization-iot

Reliability Radio EP 289: Gail Petersen & Jack Lucy

In this podcast, we have a discussion with the main author Gail Petersen and contributing author Jack Lucy on this new publication and their experiences in the industry bringing Industry 4.0.

Data Based Maintenance (DBM) (A new approach in Industry 4.0)
Asset Condition Management

Data Based Maintenance (DBM) (A new approach in Industry 4.0)

Proactive maintenance is linked with condition monitoring e.g vibrations. High vibration values are results of initiators which are human or have bad operation. As everything is digitalized, time to have maintenance based on operating conditions which gives an instance and future reliability.

banner
A weekly collection of recommended articles and videos to boost your reliability journey. Right in your inbox
DOWNLOAD NOW
Meet Spot: The Solution to Autonomous Industrial Inspections
asset condition management

Meet Spot: The Solution to Autonomous Industrial Inspections

Attendees will want to attend this session and learn first-hand how Boston Dynamics’ Spot robot is being used in industrial settings to extend and enhance the overall maintenance operation.

Bridging the Vibration Gap with Digital Monitoring Solutions
asset condition management

Bridging the Vibration Gap with Digital Monitoring Solutions

diagnosing developing faults and providing 24/7 online monitoring as complementary approaches to condition-based maintenance.

Integrating Uptime Elements in a Comprehensive Machine Health Platform
asset condition management

Integrating Uptime Elements in a Comprehensive Machine Health Platform

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.

Buzzword or Real Voice of the Customer

Buzzword or Real Voice of the Customer

Terrence O'Hanlon asks the MaximoWorld audience about the technology buzzwords like IoT, connected workforce, Ai, Digital Twins. Is it hype or is it real?

Bringing Predictive Maintenance into the Boardroom
Work Execution Management

Bringing Predictive Maintenance into the Boardroom

In this session, we will discuss:· What digitization methods should plant managers focus on.· Why predictive maintenance is the first way to measure maintenance efficiency in real time.· How to get ahead of the game and be an early adopter of Industry 4.0 predictive maintenance techniques.

How Merck Established A Center Of Excellence to Advance Predictive Maintenance Globally

How Merck Established A Center Of Excellence to Advance Predictive Maintenance Globally

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.

Measuring Bearing Friction In Real Time-What 8.5 Billion Data Points Has Taught Us

Measuring Bearing Friction In Real Time-What 8.5 Billion Data Points Has Taught Us

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?

Leveraging Predictive Analytics In APM 4.0

Leveraging Predictive Analytics In APM 4.0

APM 4.0 is the combination of Industry 4.0, traditional APM, predictive analytics, digital twins, IIoT platforms and maintenance systems working together.

Pacific Northwest National Laboratory Journey to Mobility for Maximo

Pacific Northwest National Laboratory Journey to Mobility for Maximo

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.

Why Every Enterprise Needs A Connected Frontline Worker Platform

Why Every Enterprise Needs A Connected Frontline Worker Platform

Implementing Eam At San Jose Water

Implementing Eam At San Jose Water

San Jose Water (SJW) is an investor-owned utility providing water service to over 1 Million people in the Silicon Valley and greater San Jose metropolitan area.

Embedding Expertise Into Analysis Algorithms Helps In Differentiating Between Mechanical Problems

Embedding Expertise Into Analysis Algorithms Helps In Differentiating Between Mechanical Problems

The Reliability Digital Twin

The Reliability Digital Twin

Data Based Maintenance
internet of things digitalization (iot)

Data Based Maintenance

Evolving The Management Of Linear Assets— A Holistic Approach To Driving Transformation

Evolving The Management Of Linear Assets— A Holistic Approach To Driving Transformation

Understanding of cross organizational success factors for Asset Management.

Digital Twin FMECA Modeling

Digital Twin FMECA Modeling

The objectives of DTFM are to build a representative digital twin model of a system or asset using digital modeling and simulation tools.

ChatGPT with
ReliabilityWeb:
Find Your Answers Fast
Start