The NRX Blog

Your historical work order data contains useful insights that can help you identify improvement areas and take your maintenance strategy to the next level. Analyzing historical work order data over time can also help you plan and assign tasks easier.

What happens when your historical work order data is all over the place? It can lead to inconsistencies in operations and maintenance due to your organization’s different parts using other codes and procedures to complete work orders. Overall, this does not benefit your organization in the long term since a huge chunk of your data can be assessed from historical work orders

You spent all your time and money looking for a CMMS/ EAM system only to find that your implementation process was a failure. One may argue that they took all the necessary steps required to set up and initiate their software, but implementation goes beyond that. An exemplary implementation will involve setting up, initiating, and, most importantly, using the software to its best advantage.

Most PM tasks are performed at scheduled PM intervals, and if your schedule is haywire or inconsistent, you could be wasting a lot of valuable wrench time over planning and scheduling these tasks.

Maintenance backlogs are a necessary part of effective planning and scheduling. They should ensure that your work is prioritized effectively and that work orders that can be carried out efficiently at the same time are grouped together. However, some companies find it challenging to understand their current work order backlog since they cannot effectively dashboard and analyze their open work orders.

Reliability is all about analyzing data and gaining better insights for future maintenance strategies. However, some companies are unable to conduct reliability analysis effectively due to unreliable or non-existent data. This is a challenge since it gives a misleading image of current operations and asset condition. Moreover, decisions aren’t made on time, which negatively impacts the overall business.

Ever wondered what preventive maintenance could do for your organization? Diving deeper into preventive maintenance analysis can help you find areas to reduce maintenance costs and ensure asset longevity.

Historical work orders contain some of the most useful information necessary for planning and scheduling tasks. Analyzing historical work orders can not only help you organize future orders, but at the same time, it can help ease scheduling by identifying data gaps and missing information.

When it comes to maintenance activities, quality underpins everything. Most organizations strive to keep costs low while maintaining high-quality orders. However, costs associated with maintenance activities such as reactive maintenance, arranging spare parts, and last-minute repairs can increase costs and damage your assets.

You manage your work order perfectly until it is time to hand it over to maintenance workers to add relevant pieces of information about the work. You later realize that key information is missing or that your work order was not closed out efficiently. Does this sound familiar?