The issue that this session addresses is the challenge of maintaining equipment reliability and uptime in industries where downtime can have significant financial and operational consequences.
In this insightful episode of "The Stand," host Terrence O'Hanlon interviews Alberto Landeaux from DP World to discuss the challenges and innovative strategies in modern asset management. Alberto dives into the role of technology, leadership, and digital transformation in optimizing operations at one of the world’s largest port and terminal operators.
This session introduces a 3-phase process and strategic plan to support development, carve a path to up/re/skill teams, and prepare for a shift in traditional roles brought on by industry’s push towards digital transformation.
APM monitors and helps control energy usage and emissions. Learn how to reduce energy intensity, improve efficiency and equipment uptime, and examine a case study.
In 2021, they adopted a new condition-based monitoring system called Senseye PdM to achieve predictive maintenance which utilizes both rule-based and AI-driven diagnostics.
I discuss these including hardware, software, communications networks, and platforms. I’ll also give practical examples of projects covering different aspects of IoT implementation.
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.
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.
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.
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.
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.
A methodology to build fit-for purpose anomaly and performance digital twins that are built using deep learning AI methods that works in tandem with a thermodynamic engine, failure library (FMEA) engine and recommendation advisory rule base. Result - better asset health.
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, 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.