In the not too distant past, most senior level managers would cringe when someone said a failure mode and effects analysis (FMEA) needed to be performed on the hydraulic system. What immediately came to mind is a bunch of highly paid people sitting around a table dreaming up ways to eliminate things that may or may not happen to their hydraulically operated equipment.
Many companies are beginning to search for and implement sophisticated maintenance and reliability (M&R) tools and technologies in hopes of finding the next best thing to help achieve operational excellence (OE). Terms, such as asset performance management (APM), predictive analytics, machine learning, Industrial Internet of Things (IIoT), the Cloud, connected plant, etc., are making their way into everything M&R. As game changing as these concepts can be, adopting advanced technologies without first addressing the basic fundamentals of M&R is like building the world’s finest home on a crumbling foundation.
In some organizations, reliability is not just a word, but a culture that has been built over a period of time. Developing a reliability culture is not solely a top-down approach or dependent on the company’s vision. Sometimes, it is taken as a normal, routine job, while other times, it may get a fast-track status.
How can anyone walk by a defect right there, day in and day out and in their face, and do nothing?
Ever walk into a room, look around and conclude that all is well. But then, someone picks up papers, a briefcase, or some other object from the floor, right where you were about to walk. You hadn’t seen it. Your vision is fine, so how could you have missed it? It makes you wonder how many other little things you missed in other places, too. Continue reading
Tapered roller bearings can be set at initial machine assembly to any desired axial or radial clearance. This unique feature enables a designer to control bearings to meet anticipated application operating conditions, and thereby provide optimum bearing and system performance.
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.