Enhance Performance of Tabular Schedule Data Display

This capability deploys an enhanced user experience component that uses data grids to improve tabular views with more efficient filtering and mass editing of data. This will speed up schedule analysis, reducing overall scheduling cycle time.

During a schedule analysis, the production scheduler uses both the Gantt chart and the various tabular schedule data displays below the Gantt chart. The connectivity between the Gantt chart and the tables together with the pegging link visualization and various highlighting capabilities, enables the scheduler to understand the schedule and the relationships between the various data elements in the schedule.

For example, selecting rows in the dispatch list also selects the corresponding work order operations in the Gantt chart and vice versa. Selecting rows in the work orders table highlights the corresponding operations in the Gantt, and selecting rows in the on-hand inventory, the demands, or the inbound supplies tables highlights the operations pegged to the respective records. The other way around, selecting operations in the Gantt chart and activating the Filter by Gantt Selection action above the work orders, on-hand inventory, demands, or the inbound supplies tables filters the tables’ records to just the corresponding ones.

The production scheduler uses the various insights gained during schedule analysis to manipulate the schedule via manual scheduling. For example, drag and drop in the Gantt chart or resequencing in the dispatch list. Further, the production scheduler may change specific properties of work orders or work order operations to influence and guide a subsequent solve and release actions. For example, the work order firm status, need-by override, earliest start date, the selected for release flag in the work orders table, or the offloading allowed flag in the dispatch list. These changes can be performed directly in the tables on a one-by-one basis or via the edit option in the side-drawer, where many records can be changed together.

Previously, in very large schedules such edits and the interaction between tables and Gantt chart exhibited slower than desired response times. As part of this enhancement, the dispatch list and work orders table now use different components and data handlers on the screen that improve the performance drastically. Behavior of the tables on-hand inventory, demands, and inbound supplies tables remain unchanged.

Some changes to the usage of the dispatch list and work orders table as follows:

  • To select all rows in the dispatch list, click on one of the anchored column headers Work Order or Operation. Subsequently clicking on a single row will select that row and deselect all others.
  • To select all rows in the work orders table, click on one of the anchored column headers Work Order or Item. Subsequently clicking on a single row will select that row and deselect all others.
  • You can continue to select a single row via mouse-click, additional individual rows via Ctrl key + mouse-click, and a set of adjacent rows via Shift key + mouse-click.

Selecting Rows in the Dispatch List or Work Orders Table.

Selecting Rows in the Dispatch List or Work Orders Table.

Steps to Enable

Use the Opt In UI to enable this feature. For instructions, refer to the Optional Uptake of New Features section of this document.

Offering: Supply Chain Planning

Tips And Considerations

If you want to use the Enhance Performance of Tabular Schedule Data Display, then you must opt in to its parent feature: Production Scheduling. If you’ve already opted in to this parent feature, then you don’t have to opt in again.

Key Resources

  • Visit https://redwood.oracle.com/ for more information about the Redwood experience.

Access Requirements

Visit https://redwood.oracle.com/ for more information about the Redwood experience.Users who are assigned a configured job role that contains this privilege can access this feature:

  • Edit Production Schedule (MSC_EDIT_PRODUCTION_SCHEDULE_PRIV)

This privilege was available prior to this update.