PPC Rough-cut Dispatcher

The PPC Rough-cut Dispatcher is a module that is completely integrated into SAP and is based on standard functionalities and objects. All important planning data from SAP (e.g. planned and production orders) can be called up from the PPC Rough-cut Dispatcher – without any interfaces. Planning can be carried out both manually (e.g. by drag and drop) and automatically (with the help of planning algorithms), this multi-level analysis ensures planning transparency in all cases.

PPC Rough-cut Dispatcher Icon

Rough-Cut Planning

Rough-cut planning is the levelling between capacity requirements and available capacity that occurs within predefined periods (e.g. month, week). The planning usually has a long-term focus, where MRP receipts can be created or adapted as required in the respective periods (“buckets”). At the same time, the capacities of the work centres are synchronised and periodic constraints are taken into account (e.g. maximum amount per day). Costs for production plans can also be calculated and optimised.


  • Periodic capacity overview (period is defined by user)
  • Real-time information about capacity workload in the plant
  • Real-time information on the feasibility of customer inquiries on yearly, monthly, weekly, daily and shift level
  • Central access to all major SAP standard objects and capacity data
  • No interfaces
  • Flexible module that is quickly established Review and consideration of restrictions: supplier delivery capacity, storage capacity, supply shortages, etc.
  • Review and consideration of restrictions: supplier delivery capacity, storage capacity, supply shortages, etc.

Capacity overview

work centre workload in the respective production week (periods)

Capacity overview

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Planning periods

Depending on the customer's requirements, work can be done on a daily or shift basis. Depending on the business case, the appropriate period is selected, e.g.:

  • Strategically, the next business year is to be planned so that buyers can get an overview of required raw material quantities and estimate how many and which machines and which number of production resources will be needed for a predicted volume of products (here, a coarser granule should be chosen).
  • Orders are planned in such a way that daily or weekly programmes are forwarded to the production controller or workshop foreman, who carries out the detailed planning manually and according to experience (here one should choose a finer granule).

Preparation for detailed planning

The focus of rough-cut planning is not on the creation of a detailed sequence of planned orders. However, it can be an efficient and comprehensive preparation for the subsequent more detailed planning step.

Point System

Point System

Point System

Periodic rough-cut planning (bucket planning) covers several aspects of planning


The ability of the system to align demand with the company processes by efficiently managing the internal distribution of processes, tasks, and resources. The PPC interface is designed to enhance the dispositive aspect to its full potential. This was achieved by focusing on two primary aspects of the interface which are the distribution of the data on the interface and the functionality provided to act on that data. The configurable aspect of the PPC interface allows it to provide the best possible overview of the planning situation so that the planner can easily understand the issues. The second aspect focuses on providing powerful functionality (customising existing SAP Modules, drag and drop, configurable planning heuristics) which allows the user to modify the planning situation with minimal effort. Our focus on the dispositive aspect of the PPC supports the planner to take the best possible decisions to achieve the highest possible return with the least possible effort.

Point System


The rough-cut planning makes sure that required bottlenecks are available. On the one hand, this may be a matter of represented bottlenecks in the ERP capacity planning such as capacity categories of work centres. On the other hand, these can be modelled as any other bottleneck types, such as quantity restrictions due to storage space, supply capacity or supply constraints associated with component supply. Within the scope of rough-cut planning, ITeanova provides a lean and effective modelling alternative through the analysis of dynamic order networks formed by pegging.

Point System


A special feature is the periodic smoothing, which creates a production plan with an evenly distributed workload having taken all restrictions into account.


Constraints that must be adhered to are taken into consideration for the creation of a final production plan. These include, for instance, time coordination of all production levels, correct positioning of all receipts relative to customer and pre-planning due dates, maintenance of a minimum stock as well as minimum and maximum offset between operations and orders.

Graphical Planning

It is possible to display and change the planning result graphically. Orders can be moved easily by drag and drop. The graphical display offers a better overview of the planning situation for the user to optimise the planning data comfortably.

Solutions of the PPC Rough-cut Dispatcher

  • Finite and infinite bucket planning (periodic capacity levelling)
  • Automatic and manual planning
  • Planning heuristics – predefined planning logics
  • Just-in-time planning (JIT planning)
  • As-soon-as-possible planning (ASAP planning)
  • Multilevel planning – simultaneous planning on several levels
  • Pegging – Assignment of receipts and demands
  • Personnel planning
  • Tool planning
  • Chief orders – orders that cannot be moved
  • Prioritised planning – e.g. according to demand (make-to-stock, make-to-order etc.)
  • Cross plant planning
  • Whatif analysis – simulation of various planning scenarios

Solutions in combination with other modules of the Production Planning Cockpit

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Block planning
  • orders are grouped into blocks and produced jointly

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Capacity reservation
  • for key customers

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Campaign planning
  • orders grouped based on specific criteria

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Planning constraints
  • additional restrictions

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