Articles
3 Key Tips for Implementing Resource Scheduling Successfully
Scheduling technologies have improved over the years, becoming more powerful as organizations work to leverage their enterprise systems and data (for example, in SAP) to more efficiently manage their resources.
- Graham Heiner
- Movilitas
Hiring a Reliability Consultant
What industrial organization doesn’t want to improve safety performance, decrease downtime, and improve throughput while optimizing cost? Even if you think you are running at full potential, the competition looms: How do you stay ahead?
- Michael Gehloff
- Allied Reliability
When you Write and Execute a Schedule, how do you Allow for Emergent Work?
We acknowledge that there will always be some emergent work, and we consider that it may be (for example) 10% of the overall work. When you write and execute a schedule, how do you allow for emergent work? Or do you allow for emergent work?
- Mike Gehloff
- Allied Reliability
7 Essential Predictive Maintenance Indicators (KPIs) to Track
Maintenance KPIs are performance metrics that help you measure your overall maintenance process. These indicators evaluate factors critical to an organization's success. However, not all managers know the best indicators for this and may fail to monitor essential data to increase production potential.
- Silvio DosSantos
- SEMEQ
Fault Diagnostic Technique Using AI-Assisted Machine Mode Similarity Analysis
Artificial intelligence applications are widely used for fault diagnosis by monitoring vibration data. In order for artificial intelligence applications to provide the most efficient results, they need to be trained using data obtained by regular monitoring of machines for long periods and evaluated by experts.
- Mehmet Ozan Serifoglu
- Sensemore.io
The New Hero in Reliability – The Multi-disciplinarian
As artificial intelligence permeates more-and-more into manufacturing plants, the “multi-disciplinarian” will emerge as the new, “got to have”
- Dominic Gallello
- Symphony Industrial AI
Reliability Engineering Terms- Data Collection and Analysis
Data collection and analysis facilitates an understanding of field operational use profiles and environmental stress data and is critical for ensuring design/process robustness.
Understanding The Machine Data
Machine data is the set of physical quantities and attributes that the machine has or creates. This data is provided by various sensors, software, and machine manufacturers.
- Anil Ulusoy
- Sensemore.io
Cost Avoidance Within the Infrared World
Who does cost avoidance? What is it? Where would you apply it? Why would you worry about it? These are the questions that one should ask themselves. Most of the time is spent doing the physical work and analyzing that data to determine the condition or health of the equipment rather than thinking what our group did to save the company money. This article explains the methodology we used and why you should care about cost avoidance.
- Patricia Warner
- Cummins Inc.
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