Process Reference Models  -  Industry Best Practices

What is Forecast to Plan (F2Pl)?

The Forecast-to-Plan (F2Pl) domain describes processes required for supply and demand planning in a manufacturing environment.

The focus of the domain lies on the interaction of five different planning disciplines structured within a planning reference landscape.

Please watch our videos for an introduction to the planning reference landscape. You will find a short version on the left and a commented version at the bottom of this page.

The planning disciplines are represented in the domain as scenario clusters for:

master planning,

demand planning,

production planning,

procurement planning, and

distribution planning.

The orchestration of these different demand and supply planning disciplines is handled by the sales & operations planning function. In the reference content S&OP function is considered as a process group consolidating important standalone planning processes.

Commented video introduction to the reference planning landscape of our F2Pl domain

The tight integration into operational processes is ensured by interfaces and feedback loops to other domains. Especially the integration with Plan-to-Produce should be considered with the differentiation of production planning compared to production scheduling. Later one is part of Plan-to-Produce, whereas the short and midterm planning is part of Forecast-to-Plan. F2Pl is also strongly connected to Procure-to-Pay, Inbound-to-Outbound and Order-to-Cash.

In the advisory notes further connections to other planning disciplines are reflected, such as Strategic Network Planning (SNP) but also financial planning.

Master Planning

  • Master Planning (forecast driven)

Demand Planning

  • Demand Planning with manual sales forecast

  • Demand Planning with statistical sales forecast

  • Demand-driven replenishment planning

Production Planning

  • Mid-term production planning

  • Short-term production planning

Procurement Planning

  • Procurement Planning

Distribution Planning

  • Distribution Planning in fixed distribution network

 

Best Practices On Demand

 

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