A constrained forecast is a forecast that is limited by the operational abilities and supply capacity of the business – particularly factors affecting the supply of materials, availability of labor, production capacity, and cash flow. The constrained forecast is supply-side focused. Constrained forecasts ask the question – given production capacity and market demand, what is the total number of products your business can expect to sell?
In SAP IBP, the Supply Planning with Allocation Creation run could be rule-based Heuristics or Optimizer which works on the unconstrained forecast to generate a feasible plan considering component availability, supplier constraints, and capacity constraints (Optimizer constrained run is discussed in a later section). This algorithm does not take sales orders into account.
The constrained quantities can also be copied to the allocation quantity using a copy operator which could be taken as an input for the Supply Planning with Order Confirmation run so the allocated quantities get "confirmed". The function of product allocation planning is that of a bridge between the planning and order fulfillment side processes.

Supply planning is relevant for short-term, medium-term, and long-term horizons with a special focus on the medium-term planning horizon. Long-term supply planning is aligned with sales and operations planning (S&OP), while short-term supply planning works with response planning. The following figure shows how Supply and Allocation creation run fits into the entire supply planning process.

Supply and Allocation Creation Process Description
As part of the planning process, it is common to use a planning run to see exactly what your company can provide in the short term. As the first step in response management, you perform the Supply Planning with Allocation Creation run, with which you determine your ability to fulfill the forecast demand. The Supply Planning with Allocation Creation run is available with or without the use of a cost-based optimization function.
Without the latter, the generated supply plan is based on your demand prioritization.
Prioritized demand through the prioritization rule and supply constraints (resource, material, supplier capacity, and so on) are the input for constraint supply planning.
The output of this planning run is a supply plan and a constrained demand forecast. A constrained demand forecast is generated using the prioritized demand and the organization’s ability to supply while considering the supply constraints.
In a short supply scenario, the constrained demand forecast are less than the unconstrained forecast.
Master and Transactional Data
Master Data
Essentially, the master data consists of the supply chain model, which was discussed earlier. To summarize:
- The Supply Chain Model consisting of locations, materials, location materials, resources, and different sources of supply like transportation lanes and production versions is typically imported from SAP ERP.
- The Supply Chain Model can be complemented in SAP ERP by adding additional transportation lanes and priorities in case of multiple sources of supply for one location material.
Transactional Input Data
Generation of Product Allocations
The Disaggregation and Copy operator type in IBP Framework can be used to copy constrained forecast to product allocation quantity.
The product allocation quantities can be manually overwritten and adjusted according to the business needs for example:
A cellphone producer has three levels of customers. The first is a multinational chain of electronics stores (let’s call them level A), the second is a smaller, national chain of electronics stores (level B), and the third is a series of independent stores (level C).
The level A customer constantly has a high rate of demand, to the extent that the cellphone producer could afford to make them their only customer. The more simplified production and transport process might even lead to higher profits in this case.
However, the independent stores of level C sell to influencers – such as universities and their students - who are crucial for cellphone marketing and future success. A cellphone producer may want to ensure level C customers receiving a minimum share of cell phones to secure future success.
For this reason, it is strategically important to distribute supply among several customers. This is where allocations come into effect. For certain periods (for example, each month), a particular amount of supply is reserved for each of the three customer levels.
Since Product allocations are stored as a time series in the SAP IBP system, the time series consists of a start date and an end date for the period, along with the location material. The requested date in the schedule line of the sales order item allows determining the product allocation period by comparing it with the start date and the end date stored in the IBP system.
Allocation values in the SAP Integrated Business Planning can be maintained in add-in for Microsoft Excel or Planner Workspaces using dedicated key figures of the SAP7F planning area.





