This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Feature | Notes |
|---|---|---|
| 06 MAR 2020 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Override the Demand History End Date for Out-of-Sample Forecast Tuning
Improve your forecast accuracy by setting an offset for the end date for historical sales data to generate a statistical forecast, instead of using the current date. Using the offset, you can tune the statistical forecast parameters to reduce the forecast error by comparing the forecast to the actuals in the time period between the offset end date and the current date.
Forecast for Engineer-to-Order Items
Forecast for engineer-to-order models by using the history of sales orders for engineer-to-order items. Engineer-to-order items are those items that identify a base configure-to-order model, but the configured item is not generated dynamically at the time of order capture.
Schedule Batch Processes to Load Measures
Schedule the movement of measure data between plans using scheduled processes and REST services.
Efficiently Configure Columns to be Displayed
Select the columns, and the order of the columns, to be displayed on the Items page more efficiently using a new dialog box.
Maintain optimum inventory levels at each node of your supply chain to meet customer service targets at the lowest inventory cost. Use automated processes to maintain inventory policy parameters and improve customer service levels. These automated processes dynamically update the inventory to keep on hand and reduce costs by calculating the economic order quantity for replenishment when appropriate.
After you opt in to the feature named Replenishment Planning, you can use the features described in this section.
Replan for Planner-Specific Edits
Replan without impacting the edits of other planners. The replenishment planning process now supports user-specific plan simulations so only the item-locations edited by you are replanned.
Review Before and After Results of Segmentation
Review which item-location combinations have moved from one segment to another. Specific item-location combinations may move from one segment to another because the demand, selling, and consumption patterns of items change over time.
Efficiently Configure Columns to be Displayed
Select the columns, and the order of the columns, to be displayed on the Supplies and Demands and the Items pages more efficiently using a new dialog box.
Query Supplies and Demands Faster by Specifying Required Search Criteria
Improve response times for your searches of orders in the Supplies and Demands user interface by specifying required search criteria.
Schedule Batch Processes to Load Measures
Schedule the movement of measure data between plans using scheduled processes and REST services.
Plan Assembly Items Using Processing Lead Times
Include the processing lead time of an assembly item during the aggregate supply planning step in the sales and operations planning process to offset the manufacturing start and consumption of both components and resources.
Efficiently Configure Columns to be Displayed
Select the columns, and the order of the columns, to be displayed on the Supplies and Demands and the Items pages more efficiently using a new dialog box.
Extract Sourcing Rules and Assignment Sets
Extract the data for assignment sets and associated sourcing rules into a CSV file format. The generated file is in the standard file-based data import (FBDI) file format. You can use the file to create the same assignment set and sourcing rules in another instance.
Efficiently Configure Columns to be Displayed
Select the columns, and the order of the columns, to be displayed on the Supplies and Demands and the Items pages more efficiently using a new dialog box.
Define a Time Window for Plan Pegging Calculations
Improve your planning cycle time by reducing the volume of calculations during a plan run. You can now define a time window to calculate supply and demand pegging. No pegging calculations are performed outside the pegging horizon. However, supply and demand continue to be balanced for the entire plan horizon.
Extract Sourcing Rules and Assignment Sets
Extract the data for assignment sets and associated sourcing rules into a CSV file format. The generated file is in the standard file-based data import (FBDI) file format. You can use the file to create the same assignment set and sourcing rules in another instance.
Query Supplies and Demands Faster by Specifying Required Search Criteria
Improve response times for your searches of orders in the Supplies and Demands user interface by specifying required search criteria.
Implement Fixed Days of Supply Order Policy in a Plan with Aggregate Time Buckets
Generate planned orders to fulfill the demand for an item in an aggregate time bucket, such as a period, that honor the fixed days of supply order policy specified for the item.
Reschedule your order backlog by prioritizing orders based on flexible demand priority rules. In contrast to how Global Order Promising in Oracle Order Management Cloud schedules orders on a first-come, first-served basis, Order Backlog Management uses flexible demand priority rules to assign the latest available supply and resources to orders in whatever sequence you choose. You can simulate the effect of different rules to find the best combination of scheduled dates and sources, and then release the updated orders to order management systems for execution.
After you opt in to the feature named Order Backlog Management, you can use the features described in this section.
Automatically Include Planned Order Supplies from a Supply Plan
Get immediate visibility to new planned order supplies from Oracle Supply Planning Cloud within backlog management, so that you can expedite orders or anticipate future delays based on the latest plans.
Extract Sourcing Rules and Assignment Sets
Extract the data for assignment sets and associated sourcing rules into a CSV file format. The generated file is in the standard file-based data import (FBDI) file format. You can use the file to create the same assignment set and sourcing rules in another instance.