- Revision History
- Overview
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- Demand Management
- Sales and Operations Planning
- Supply Planning
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- Synchronize Availability Data for Contract Manufacturers with Oracle Supply Planning Cloud
- Respect Reservation of Component Supply to a Work Order
- Query Supplies and Demands by Entering a List of Items or Organizations
- Control Order Policy Enforcement in Aggregate Time Buckets
- Release Planned Manufacturing Orders with a User-Defined Work Order Number
- Project-Driven Supply Chain
- Planning Advisor
- Order Backlog Management
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This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Product | Feature | Notes |
|---|---|---|---|
| 05 JUN 2020 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
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Focus Data Analysis Using Multidimensional Measure Filters
Query measures using data filters applied across multiple dimensions, except the time dimension, to return only the dimension combinations that meet the filter criteria. For example, you can query for the product category and customer combinations where the forecast accuracy is below a certain threshold.
Recent advances in technology increase the volume of data available to your enterprise and provide new avenues to automatically analyze, and seek deep insights into, this data that were previously hard to achieve. Oracle IoT (Internet of Things) applications provide rich, real-time data to improve efficiency and derive more value from Oracle Supply Chain Planning Cloud using machine learning technologies. Oracle Supply Chain Planning Cloud now offers built-in integrations to Oracle IoT applications to leverage these insights and get contextual recommendations.
Optimize New Product Introduction Using Recommendations from Planning Advisor
Improve the success of new product launches by leveraging machine learning to forecast demand based on product features combined with influencing factors, location attributes, and historical demand. Gain deep product insights and understand the importance of each product feature relative to the overall demand. Get contextual recommendations related to new product planning from Planning Advisor to make timely, informed decisions.
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 feature described in this section.
Replan Replenishments for a Planner-Selected Subset of Item-Locations
Simulate faster and with better control over which item-locations to replan. You can now choose a subset of item-location combinations to recalculate replenishments for when you run a replan. The replenishment planning process simulates only the item-locations that you select.
Focus Data Analysis Using Multidimensional Measure Filters
Query measures using data filters applied across multiple dimensions, except the time dimension, to return only the dimension combinations that meet the filter criteria. For example, you can query for the product category and customer combinations where the forecast accuracy is below a cetain threshold.
Query Supplies and Demands by Entering a List of Items or Organizations
Search for supplies and demands more quickly by entering a list of comma-separated items or organizations in the Manage Conditions dialog box from the Supplies and Demands UI. This capability supplements the currently available capability to select items and organizations from a table.
View Dependent Demand for Production
Report the component item demand coming from production as a measure.
Focus Data Analysis Using Multidimensional Measure Filters
Query measures using data filters applied across multiple dimensions, except the time dimension, to return only the dimension combinations that meet the filter criteria. For example, you can query for the product category and customer combinations where the forecast accuracy is below a certain threshold.
Synchronize Availability Data for Contract Manufacturers with Oracle Supply Planning Cloud
Synchronize on-hand balances, purchase order details, and work order details from external organizations into Oracle Supply Planning Cloud. With these details, contract manufacturing and multitier supply plans can identify upstream material availability.
Respect Reservation of Component Supply to a Work Order
Honor reservations of component inventory to work orders when planning. These reservations are entered in your supply chain management system and may include on-hand or inbound upstream supply.
Query Supplies and Demands by Entering a List of Items or Organizations
Search for supplies and demands more quickly by entering a list of comma-separated items or organizations in the Manage Conditions dialog box from the Supplies and Demands UI. This capability supplements the currently available capability to select items and organizations from a table.
Control Order Policy Enforcement in Aggregate Time Buckets
Control planning cycle time by deciding whether to use the order policies for an item in aggregate time buckets, such as a week or period. By not enforcing order policies in aggregate time buckets, you will have shorter plan run times, but you may have planned supply quantities aggregated for the entire time bucket.
Release Planned Manufacturing Orders with a User-Defined Work Order Number
Provide a user-entered work order number for a planned manufacturing supply order instead of using the work order number that is automatically generated. The user-defined work order number is a text field enabling you to use a naming scheme that works for your enterprise.
Project-Driven Supply Chain is an end-to-end, integrated solution across the Oracle Supply Chain Management and Project Management Cloud applications. This solution is designed to support various business processes of manufacturing and asset-intensive companies.
You can use the Project-Driven Supply Chain solution to manage your supply chain processes in the context of projects without creating separate organizations for each project. You can also capture supply chain costs as project expenditures.
In this update, the Plan Project-Specify Supply feature is added to the the Project-Driven Supply Chain solution. This new feature is in addition to the previously available 11 features described below, which are available with update 20A. The first nine features are part of the Oracle Supply Chain Management Cloud applications, and the last two features are part of the Oracle Project Management Cloud applications:
- Segregate and Manage Project-Specific Inventory
- Receive Project-Specific Supply
- Pick Project-Specific Inventory
- Ship Project-Specific Inventory
- Transfer Project-Specific Inventory
- Purchase Project-Specific Inventory
- Execute Project-Specific Manufacturing
- Perform Project-Specific Maintenance
- Execute Project-Striped Supply Chain Without Oracle Project Financials
- Capture Project-Driven Supply Chain Material and Manufacturing Costs (Oracle Project Management Cloud feature)
- Capture and Capitalize Project-Driven Supply Chain Asset Maintenance Costs (Oracle Project Management Cloud feature)
The Project-Driven Supply Chain feature in Oracle Supply Chain Planning Cloud is described in this document.
Plan supply by project group, project, or project and task. View project and task values for demands and supplies.
Recent advances in technology increase the volume of data available to your enterprise and provide new avenues to automatically analyze, and seek deep insights into, this data that were previously hard to achieve. Oracle IoT (Internet of Things) applications provide rich, real-time data to improve efficiency and derive more value from Oracle Supply Chain Planning Cloud using machine learning technologies. Oracle Supply Chain Planning Cloud now offers built-in integrations to Oracle IoT applications to leverage these insights and get contextual recommendations.
Plan Considering Events in Oracle IoT Production Monitoring Cloud
Incorporate into a plan the recommendations from Planning Advisor to mitigate shop floor events predicted by Oracle IoT Production Monitoring Cloud.
Reschedule your order backlog by prioritizing orders based on flexible demand priority rules. You can simulate the effect of different rules to find the best combination of scheduled dates and sources based upon the latest supply information, and 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 Reschedule Order Lines Using Manufacturing Alternatives
If an order line for a manufactured item is delayed, and there is more than one work definition available to manufacture the item, then backlog management will reschedule the order line using an alternate work definition. In this instance, the material and resource capacity associated with the alternate work definition will be consumed to improve the fulfillment date.
Efficiently Configure Columns to be Displayed
Select the columns, and the order of the columns, to be displayed on the Backlog Analysis page more efficiently using a new dialog box.
Query Order Backlog by Entering a List of Items, Organizations, Set Names, or Order Numbers
Search your order backlog more quickly by entering a list of comma-separated items, organizations, set names, or order numbers in the Manage Conditions dialog box from the Backlog Analysis page. This capability supplements the currently available capability to select these values from a table.