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. When this data is inaccurate, your future decisions and maintenance activities get hindered.
Why is your data inconsistent?
If you think about specific fields such as criticality, ABC indicator, and work type, you would know that these are crucial factors in analyzing work orders. But, if members from your maintenance team follow different procedures, data would be reported differently, and each set unique from one another. This often happens when data procedures aren’t standardized, and when specific rules aren’t set in place in terms of reporting and organizing data. One member may approach a given piece of information differently. They may choose what needs to be analyzed and what does not, which could also lead to missing data and critical information.
In addition, important information in terms of scheduling and planning is set up differently by your organization’s members. So, when it comes to analyzing historical work order data, everything is set up in a haphazard manner, which leads to confusion and more room for error. Your best solution is to build consistency and high quality by focusing on standardizing work procedures and setting high standards for quality data with these problems. Historical work order analysis can not only yield useful information that can be incorporated into your future work orders, but it can also help you understand necessary improvements and changes for your work orders, which can help reduce unexpected downtime in the long run.
Generating useful results from previous data
Inconsistency and inaccuracy in your work order data can prevent you from identifying the assets and maintenance tasks that cost the most money and time. Building better standards and procedures for analyzing historical work order data can help save resources and help you plan better for the future. If you’d like to learn more about how analyzing your historical work order data can improve your business’ maintenance strategy, click on one of our resources below, or book a demo with us to see how the NRX Work Order Analysis can help you make the most out of your historical work order data!
Understanding Your Historical Work Order Data
Some Common Causes of Inaccurate Work Order Data
4 Struggles That Companies Face with Incomplete and Inaccurate CMMS Data!
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