IBM Maximo is a computerized maintenance and management software for assets & facilities. The platform has several capabilities, such as asset management, remote monitoring & scheduling of applications, predictive maintenance of facilities, that collect vast amounts of data to provide valuable reports and insights.
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Facilities management software is a crucial tool for businesses that need to optimize their facilities and assets according to operational needs of facilities. By collecting critical data about asset performance, facilities management software can help identify potential risks causing downtime to your organization’s operation, while helping your team resolve bottlenecks proactively and efficiently.
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As long-term users of IBM Maximo know (regardless if users have installed Maximo 8 or not), IBM Maximo contains industry specific solutions that are immensely beneficial for users within those industries. For example, Maximo Oil & Gas is purposefully designed for – you guessed it – users who operate in the oil and gas industry.
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The new IBM Maximo Application Suite (also known as Maximo 8) has generated considerable buzz within the Maximo community. The Maximo Application Suite (MAS) continues Maximo’s tradition of providing a series of intelligent asset management applications that enable businesses to maintain their assets. However, as part of IBM Maximo’s digital transformation, the release of Maximo 8 truly represents the ‘next level’ of asset maintenance.
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The release of IBM Maximo 8 has created a buzz around the Maximo community. It comes with enhanced Asset Performance Management applications (APM applications), which long-term users are undoubtedly familiar with. Moreover, Maximo 8 also has significant licensing changes, a change in the user interface, and a new technology hosting platform called the ‘Red Hat OpenShift Platform.’
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As anyone in the oil & gas, transportation, utilities, logistics, or manufacturing industry will know, effectively maintaining enterprise assets throughout their lifecycle is a demanding task. To avoid downtime, and thus a loss of revenue, asset management, preventive maintenance, and predictive maintenance have to be ‘front and center’ of company policy.
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When compared to other types of maintenance like preventative where a maintenance team is attempting to prevent failure by performing routine maintenance on an even interval, breakdown where the maintenance is focused on letting the item fail before maintenance is performed, or reactive maintenance where there is an unexpected failure, predictive maintenance aims to predict failures.
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Maintenance planning and scheduling is an essential cog in the maintenance process. Without assigning someone to oversee job plans and maintenance plans, work cannot be carried out at maximum efficiency.
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When failure happens, the need to identify the root cause becomes imperative. There are many ways to determine why a failure occurs, but the method behind these methods will lead to strong solutions. A strategy leads to strong processes, which inherently leads to strong testing and solution methods. Engineers and engineering groups trust failure analysis in their business, but what type of control do they lean on? What do they do to make sure their analysis is complete? What do they do to know the problem won’t arise again? Let’s find out!
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Asset Management & Maintenance teams know that even the most detailed preventative maintenance schedules can result in unexpected machine failure. That’s right, I said maintenance failure. Well, what if your plan primarily accounted for asset or equipment failure? That is what Breakdown Maintenance aims to do.
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