Driving operational excellence is one key goal for every asset industry site. Manufacturers want to meet customer expectations and have sustainable improvements in the performance of their assets. In order for companies to achieve optimum performance, they create vision statements and mission statements supported by goals and objectives.
Picture this: Like many Americans, you own a motor vehicle of some sort. That vehicle gets you from Point A to Point B, day in and day out. But, if you’re like most vehicle owners, you don’t consider basic routine maintenance, even on something you rely on the most. It is more of a break/fix relationship. Unfortunately, this same type of relationship is not uncommon in today’s data center industry. Various types of equipment are running 24 hours a day, 365 days a year, which comes out to 8,760 hours in a year. Data centers cannot afford any of their equipment to fail. Therefore, preventive maintenance (PM) is a must.
Fluid analysis is an incredible tool to ensure your maintenance program sees a significant return on investment for your efforts. Not only is it an informative diagnostic tool, but fluid analysis also can help you increase productivity and boost company profits. Whether you are looking to use it alone or alongside other diagnostic technologies, fluid analysis can help you detect a variety of problems before they become failures.
In any asset-intensive industry, businesses are pressured to continually improve asset performance and reliability while minimizing costs and ensuring regulatory compliance for e.g. safety. In this environment, optimizing maintenance is critical.
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Problems with reliability appeared with the beginning of human activity. However, the ways of solving these problems were different and they were changing with growing complexity of technical systems. The retrospective view shows that the way of solving reliability problems depends on the ratio between the complexity of the system and the ability of people to obtain information about the system and its elements.
Connected and integrated tools, sensors and software provide maximized uptime.
As industrial production rapidly transforms, the Industrial Internet of Things (IIoT) drives plant-wide changes and enhanced asset health and maintenance management. Facility managers, engineers and technicians must be able to rely on their equipment’s operation. Monitoring assets and assessing their health is of paramount concern to detect problems before catastrophic failures.
Uptime® Elements – A Reliability Framework and Asset Management System™ uses mental models and systems thinking to ensure a consistent language of reliability is embedded in the culture.
Part 1 of this two-part Q&A series covered torque specifications, why good tightening practices are important and fastener identification. This next Q&A provides detailed information answering frequently asked questions about the hardware to help you understand what is involved with quality bolting practices.
A universal situation in the world of the maintenance, repair and operations (MRO) supply chain is that managing the process consumes an inordinate amount of time from all plant departments. The MRO spend is only six to 10 percent of a plant’s total, but it absorbs 70 to 80 percent of all transactions and causes 50 percent of the emergencies affecting plant reliability.
This article is Part 1 of a series focusing on risk as an enabler for asset management.
It argues the case for moving away from criticality to an ISO31000 risk-based approach. Part 2 will address how to effectively model asset risk in complex systems.
What habits do you have at your workplace? What work habits do your peers have?
Habits can ruin your life or make it better. You choose which habits form your lifestyle, but can corporations choose the habits that form the behavior(s) present in its workforce?