Update 20A

Revision History

This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:

Overview

This guide outlines the information you need to know about new or improved functionality in this update.

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Demand Management

Forecast and Analyze Multidimensional Demand Segments

Segment your business into various multidimensional groupings of items, organizations, customer sites, and demand classes. Use these segments for analysis purposes and to tailor your statistical forecasting parameters by segment.

Improve Model Selection Using Cross-Validation Learning

To add more robustness to your forecasting process, you can now choose to have Oracle Demand Management Cloud use cross-validation learning based on out-of-sample testing to select statistical models and generate forecasts.

Tailor Forecast Profiles by Business Process

Control the availability of forecasting profiles by business process, such as replenishment planning or demand management.

Load Data from One Measure to Another Measure Across Plans

Move a copy of the data from one plan to another by mapping a measure in a source plan to a different measure in the target plan.

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 features described in this section.

Manage Segmentation

Use a dynamic rules-based approach to create replenishment segments: groups of item-location combinations that have similar planning requirements. You can classify your item-location combinations into segments using static, dynamic, or user-defined attributes. Use these segments to help distinguish fast-moving, frequently replenished items from slow moving ones, or critical items that must always be kept in stock from those that can sustain lower service levels.

Specify and Compute Inventory Policy Parameters

Create and manage reusable inventory policy profiles that define how safety stock is calculated, as well as how replenishment orders are generated, for all of your item-locations within their assigned segments. You can compute time-based parameters for all item-locations within a segment on a regular basis, or on demand, and make manual overrides as needed.

Compute Demand-Driven Replenishment Orders

Whenever inventory falls below the minimum threshold, replenishment planning triggers an order from the primary supply source to bring the stock back into balance. Replenishment orders may be a fixed order quantity or computed as a difference between the maximum threshold and the current inventory position. You can use transactional information, such as sales orders, inventory on-hand, purchase orders, and transfer orders, or demand schedules as drivers to generate replenishment orders. You can also calculate replenishment orders for specific segments or organizations.

Tailor Plan Scope

Tailor replenishment plans to your business objectives by creating named plans that execute in lights-out mode for specified segments. You can also manually generate time-phased replenishment orders for a subset of item-locations. In addition, you can tailor the plan to generate forecasts, calculate policies, and generate replenishments within the same integrated plan. In any of these scenarios, you can automatically release orders based on predefined rules to Oracle SCM Cloud or an external transaction system.

Monitor Plan Performance

Use embedded analytics to analyze the performance of your replenishment plan and monitor and prioritize issues. You can drill into graphs that provide additional details to resolve problems using real-time analytics and an interactive workbench. You can also create your own reports in Oracle Transactional Business Intelligence.

Simulate Replenishments

Perform simulations to evaluate alternate scenarios and understand the impact of your changes on the business goals. You can simulate the effect of updates to inventory policy parameters, item attributes, supplies, or demands. You can then compare the performance of your proposed plan with an existing one.

Manage Segments and Replenishment Orders Using a REST Service

Use a REST service to manage segments and generate replenishment orders specific to a replenishment plan.

Collect Consumption Data from Oracle Inventory Cloud

Collect consumption inventory transactions (point-of-sale information) directly from Oracle Inventory Cloud as consumption history. Consumption history provides a stable and consistent pattern of demand at the point of use, which helps you to improve replenishment performance.

Forecast and Replenish Items at Subinventory Levels

Model a retail store or a department within a hospital as a subinventory and maintain both demand and inventory information at this level. You can generate forecasts, calculate inventory policies, and generate replenishment orders at the subinventory level. Subinventory-level planning can help improve the overall efficiency in forecasting and replenishment processes.

Enable Inventory Policy Comparison

Automatically review and compare updated inventory policy values with existing in-force values at an item-location level and change them if they meet your thresholds.

Sales and Operations Planning

Load Data from One Measure to Another Measure Across Plans

Move a copy of the data from one plan to another by mapping a measure in a source plan to a different measure in the target plan.

Include Archived Measures When Copying Plans

Make a complete copy of the sales and operations plan, including archived measures.

Use a Forecast Measure in Oracle Demand Management Cloud as a Baseline for Consensus Forecasting

Use any demand management forecast measure as a baseline forecast for consensus planning in Oracle Sales and Operations Planning Cloud.

Supply Planning

Include Archived Measures When Copying Plans

Make a complete copy of the supply plan, including archived measures.

Constraint-Based Planning

Create and run supply plans that consider material and capacity constraints. Focus on meeting demand on time by evaluating all possible alternatives, such as using different sources, substitute components, or alternative work definitions.

After you opt in to the feature named Constraint-Based Planning, you can use the feature described in this section.

Plan Outside Processing Operations

Plan for supply using the appropriate lead times required for processing material at a third party, based on a manufacturing work definition.

Order Backlog Management

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.

Analyze Order Scheduling Performance

Graphically summarize key fulfillment measures, such as on-time delivery percentage, average order cycle time, and delayed order value, to evaluate your overall scheduling performance.

Prioritize Demands Based on Extensible Business Rules

Rank competing demands based on your business priorities. Consider order attributes, such as requested date, order creation date, item category, and customer, as additional, extensible attributes loaded from external source systems.

Honor Previously Promised Dates During Rescheduling

Prevent rescheduling recommendations that would delay previously scheduled orders, unless you decide to no longer honor those dates.

Identify Order Rescheduling Revenue Opportunities and Gaps

Get intelligent recommendations about orders you can reschedule to earlier dates. Also get intelligent recommendations about orders that no longer have supply available to meet their current shipment or delivery plan.

Adjust Fulfillment Strategies

Edit groups of order lines to update sourcing, shipment method, or other fulfillment attributes to maximize availability.

Schedule Orders Based on Configurable Supply Types

Maximize availability by scheduling orders based upon the supply types you choose. These supply types include on-hand inventory, inbound supply, and manufacturing capacity, as well as planned orders loaded from an external system.

Manually Specify, Override, and Lock Scheduling Results

Specify and lock dates on individual orders to preserve the dates during rescheduling so you can process the rest of the backlog without affecting critical orders.

Resolve Item Constraints Within a Shipment Set or Arrival Set

Identify the components or items that delay the fulfillment of items that should ship together or arrive together.

Schedule Batches of Unscheduled Orders

Include unscheduled orders in batch rescheduling operations to promise new demands based on their priority within the overall order backlog.

Automatically Update and Reschedule the Order Backlog

Automatically reschedule all or part of the order backlog on an ongoing basis to improve results based on the latest supply and demand information.

Release Rescheduling Recommendations to Order Management Systems

Automatically or manually release new dates, sources, and transit modes for rescheduled orders to order management systems.

Update Orders, Reschedule Backlog, and Review Results Using REST Services

Use built-in REST services to programmatically update orders, run plans, and retrieve rescheduling results as part of a larger fulfillment process.

Assess the Scheduling Impact of Order Inquiries

Project the delivery date for a potential order and predict how the order might affect lower-priority orders.

Respect Reservations of Supply Against Sales Orders

Respect supply reservations made against on hand and other supply order types for back-to-back and drop ship sales orders.

Update Global Order Promising Scheduled Dates in Real Time When Orders Are Released

Update the schedule dates of demands in global order promising in real time when orders are released, without having to restart global order promising.