Cloud Readiness / Oracle Supply Chain Planning Cloud
New Feature Summary
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  1. Update 20C
  1. Revision History
  2. Overview
    1. Demand Management
        1. Focus Data Analysis Using Multidimensional Measure Filters
      1. Planning Advisor
        1. Optimize New Product Introduction Using Recommendations from Planning Advisor
      2. Replenishment Planning
        1. Replan Replenishments for a Planner-Selected Subset of Item-Locations
        2. Focus Data Analysis Using Multidimensional Measure Filters
        3. Query Supplies and Demands by Entering a List of Items or Organizations
    2. Sales and Operations Planning
        1. View Dependent Demand for Production
        2. Focus Data Analysis Using Multidimensional Measure Filters
    3. Supply Planning
        1. Synchronize Availability Data for Contract Manufacturers with Oracle Supply Planning Cloud
        2. Respect Reservation of Component Supply to a Work Order
        3. Query Supplies and Demands by Entering a List of Items or Organizations
        4. Control Order Policy Enforcement in Aggregate Time Buckets
        5. Release Planned Manufacturing Orders with a User-Defined Work Order Number
      1. Project-Driven Supply Chain
        1. Plan Project-Specific Supply
      2. Planning Advisor
        1. Plan Considering Events in Oracle IoT Production Monitoring Cloud
      3. Order Backlog Management
        1. Automatically Reschedule Order Lines Using Manufacturing Alternatives
        2. Efficiently Configure Columns to be Displayed
        3. Query Order Backlog by Entering a List of Items, Organizations, Set Names, or Order Numbers

Update 20C

Revision History

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.

Overview

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.

Demand Management

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.

Planning Advisor

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.

Replenishment Planning

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.

Sales and Operations Planning

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.

Supply Planning

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

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 Project-Specific Supply

Plan supply by project group, project, or project and task. View project and task values for demands and supplies.

Planning Advisor

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.

Order Backlog Management

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.