In this section, we are introducing an overview of the capabilities of order-based planning.
More details can be found in subsequent chapters. We will also be making use of some of these capabilities in the exercises.

Pegging/Analyzing Supply Usage
Pegging Strategy
Demands are pegged to supply. You can influence the pegging of fixed supply elements by selecting the pegging strategy of the segment the demands that consume them are in. You can set the pegging strategy when creating or editing a demand prioritization segment in the Planning Run Profiles app. The following pegging strategies are available:
Prefer just-in-time supply
This is the standard behavior of the planning engine. The handling of a fixed supply of this pegging strategy has the following characteristics:
- If available fixed supply with which demand can be fulfilled on time is used. If there are multiple fixed supply elements available to fulfill the demand on time, the one closest to the requested date is pegged.
- If no fixed supply is available, new planned supply like planned orders and purchase requisitions is created as late as possible.
Prefer stable supply
The handling of a fixed supply of this pegging strategy has the following characteristics:
- If available fixed supply with which demand can be fulfilled on time is used. If there are multiple fixed supply elements available to fulfill the demand on time, the earliest is pegged.
- If no fixed supply is available, new planned supply like planned orders and purchase requisitions is created as late as possible.
You should only use the Prefer stable supply option for short horizons. Define the segment condition in such a way that only demands within - for example, the next two weeks are included. Following this pegging strategy, you can lock up a lot of capital in your locations and can also reduce the service level because supply is allocated to high priority demands in the far future.
Gating Factors
A gating factor is anything that prevents you from fulfilling an order on time, for example, insufficient stock or manufacturing capacity. In order-based planning, the planning runs calculate gating factors and update them for the planned scope.
By familiarizing yourself with gating factors, you can develop an increased understanding of your order network. This helps you overcome any immediate gating factors and can also provide you with some ideas on how to update your supply plan so those gating factors do not arise again in the future.

What-If Analysis
The concepts of What-If Analysis in Order-Based are similar to Time-Series Based Applications. However, there are some differences that we will explore in subsequent chapters.
With the Simulate Sales Order, functionality offered in the Projected Stock app, you can simulate a sales order to check if you can achieve an acceptable confirmation percentage. Based on the results you get, you can efficiently respond to any changes or requests from a customer for order fulfillment.
Only Time-Series Key Figures can be promoted from scenario to base version, and from a planning version to a base version.
Sales orders cannot be promoted from scenario to base version nor can sales orders be copied from a planning version to a base version.

Planning Results
Similar to Time-Series based applications, the results can be viewed in the Excel Add-In. For order-based planning, there are additional Web UI Apps available for the planner to review the planning results. We will address that functionality in next chapters and exercises.

Alerts and Dashboard functionality is the same as Time-Series Based Application.

