Another trite phrase has the answer: The weakest link in a chain is the strongest because it can break it.
Preventative and routine maintenance models help alleviate downtime and boost overall production. The most popular method is Total Productive Maintenance (TPM).
Asset performance data fuels predictive, condition-based and reliability-centered maintenance strategies. Capturing run-time readings, energy consumption, condition and qualitative data in the EAM system on a real-time basis can save time, reduce maintenance costs and improve asset reliability. Obtaining quick and efficient access to asset performance data should be mission critical for every asset management operation.
While the National Manager for one of Australia’s largest Condition Monitoring service providers, I initiated a strategic review of the Condition Monitoring marketplace in order to identify and assess the changes occurring within the industry, and the opportunities and threats that these changes represented to our organisation. Unfortunately, the review was not completed before I left that organisation, but this paper reflects the findings from that review at the time that I left, supplemented by further research and consultation with key players in the industry.
In the current environment of ever-increasing demands to deliver exceptional results with limited resources, leaders are placing greater emphasis on performance measurement. Performance measurement is defined as the process of analyzing information to determine the progress toward a desired outcome for a given organization.
You have the incredible fortune of experiencing firsthand a transformational crossroads in this field; it’s a front row seat to the fascinating evolution of performance measurement.
When looking at the P-F reliability curve, there are two main categories of maintenance reliability action where resources may be focused: the P-F region and the I-P region.
The P-F region (see Figure 1) is the portion that typically receives most of the attention. Since the equipment defect or failure has already begun, this region is about detecting and predicting equipment failure modes so repairs can be made in a planned manner. Continue reading
Unless, maybe, you feel reactive behavior is actually useful in some ways?
One way would be
Managers Using Crises As A Way To Keep Organizations Energized…
Organizations and people seem to naturally get complacent over time. We fall into ruts in performance and behavior where we don’t like to push ourselves outside of the routine.
Procrastination seems to be a natural human tendency. “Why do something that will take some different kind of effort today?” Something that might lead to issues we haven’t had to deal with before. Something that might be difficult and stressful.
When funds get tight for many colleges and universities, one of the early cuts is often to the facilities department. After all, financial aid and faculty salaries are necessary to be competitive in the market, but updating a building’s boiler or switching to all new lightbulbs is often seen as a luxury that can wait another year.
In the June/July 2016 Uptime article, “Condition Monitoring and MEMS Accelerometers: What You Need to Know,” several attributes of microelectromechanical system (MEMS) accelerometers were presented that make the technology compelling for condition monitoring applications. This article reviews data demonstrating the state of MEMS technology development and performance levels by comparing it to a commercially available piezoelectric (PZT) condition monitoring accelerometer.
With all the technology out there, all talking to each other, the world is increasingly becoming more and more connected – indeed, flat. The Industrial Internet of Things (IIoT) seems like a nebulous concept that encompasses everything from machine learning and robotics to drone delivery systems and intelligent point-of-use vending. There is more information available than ever before, but making sense of all this data can be daunting. This article will help bring clarity to how the IIoT can enhance all aspects of manufacturing.