Managing work orders is a challenging task, but with the COVID-19 restrictions, technology and automation have become important now more than ever. Some companies have faced disruption in transitioning to a remote work environment and as such, their processes fail to meet new work demands.
Analyzing Historical Work Orders To Help Simplify Maintenance
Historical work data can yield useful information on how to simplify maintenance during ongoing disruptions. Having an easy solution that uses dashboards to help identify and classify work orders by type, cost, time etc. can help you figure out where time and people can be reduced to meet new objectives.
Adding useful information to preventive work orders can make your team more efficient. However, with COVID disruptions, this is especially true. Giving technicians a lot more information now in the work orders makes sense when it is harder for them to access and find information elsewhere.
Thus, work orders now should ideally include checklists for best practices, and well-guided instructions that make it clear about what work needs to be done.
Simplify work order analysis with a reliable software solution
As outlined in the previous blog, spreadsheets are becoming outdated and more time-consuming. Especially now since teams are working remotely, spreadsheets become harder to understand and require more work to outline all relevant facts and data. With a reliable tool, all data is in one place and is easy to understand by other members of a team. Moreover, they are user-friendly and can help individuals fill in details that they would have missed if they used a spreadsheet. If you’re interested in finding a solution for analyzing your work orders that works better than a basic spreadsheet, click on one of our resources below, or book a demo with us to see how NRX’s Work Order Analysis solution can help make your work orders work for you!
Poor Work Orders May Mean Poorer Maintenance Processes
Some Common Causes of Inaccurate Work Order Data
What's Behind a Work Order?
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