In this submodule, users can analyze the different types of resources that have been added and executed through work orders, according to the various stages they may be in (in process, under review, or completed).
To access this information on the platform, follow these steps:
- Log in to Fracttal One.
- In the main menu, go to Business Intelligence.
- Select the Economic Analysis option.
- Click on the Actual Resource Usage tab.
Upon entering, a list will be displayed with all the resources used, along with various categories that allow for greater accuracy and traceability in the management of assets and work orders.
Classifications and Data Available in Executed Resources
In the complete list view, next to the selection box, there are different icons that allow quick access to detailed information. These icons provide direct access to three key types of information:
- Work Order (WO) Details
- Asset Details
- Resource Details
Actual Resource Usage provides various parameters that allow users to accurately identify and analyze the use of resources in each WO. To view all available information, simply scroll to the right using the scrollbar. Below are the main available categories:
Information Related to the Work Order (WO)
- WO Creation Date – Records when the WO was generated in the system.
- Scheduled Date – Date when the order was planned to be executed.
- WO ID – Unique code that identifies the WO.
- Percentage of Completion – Indicator of the progress in executing the order.
- Task Type – Indicates the nature of the activity, allowing it to be classified as preventive or corrective maintenance.
- Task Description – Shows the name or description of the activity performed in the work order.
- Status – Current status of the order: in process, under review, or completed.
Specific Details About the Executed Resource
- Resource Code – Unique identifier of the used resource.
- Resource Description – Detailed information about the material, service, or resource used.
- Resource Source – Origin of the resource (inventory, third parties, warehouses, etc.).
- Resource Utilization Date – Exact date when the resource was applied in the WO.
- Resource Type – Classification of the resource, which can be human resources, services, or inventory.
- Is Cataloged – Indicator of whether the resource belongs to a catalog registered in the platform.
Quantity and Costs Associated with the Resource
- Quantity – Amount of resources planned for WO execution.
- Real Used Qty – Amount effectively used in execution.
- Issue Quantity – Amount of resources supplied in the order.
- Unit – Unit of measurement of the resource (e.g., liters, meters, hours, etc.).
- Unit Cost – Value per unit of the used resource.
- Total Cost – Total cost associated with the use of the resource in the WO.
Location and Identification of the Associated Asset
- Is Part of – Information about the resource's location or integration into a larger system.
- Asset – Asset in which the resource was applied.
- Asset Code – Unique identifier of the asset associated with the WO and the used resource.
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- Out of service – Indicates if the associated asset was marked as out of service during execution.
- Equipment downtime – Indicates if the task is related to equipment downtime.
- Associated task plan – Specifies the maintenance plan to which the executed task belongs.
Filters and Visualization Options in Executed Resources
In the upper right corner of the screen, the "Filter" option is available, which facilitates the rapid and precise location of executed resources. This system allows filtering information using scheduled dates, such as Scheduled Date, Initial Date, and Final Date, in addition to standard filters, including assets, tasks, and WOs.
In addition to filters, the system offers additional options to improve data visualization and management:
- Grouping and Column Display – Allows organizing information according to user needs, making data interpretation easier.
- Export and Bulk Export – Functionality that enables the efficient export of large volumes of data.
By applying these filters, users can perform more efficient searches and obtain specific data according to their analysis and management needs.