COMPASS10 - Planning

Integrated Supply Chain advanced planning

Increase service level and reduce inventory using COMPASS10 advanced planning

Compass10 planning tools are designed to generate accurate and consistent production plans, transfer plans for multi-site environments and raw materials supply plans that balances supply and demand.


Starting from market demand (forecast data and customer orders) Compass10supports a diversified approach adapting to the specific industry and planning model.

Planning process design

In complex or multi-plant manufacturing environments, the extensive Supply Chain planning process is generally fragmented in distinct sub-processes. This advanced workflow tool aims to easily design, and change when necessary, the end-to-end supply chain planning & scheduling structure.





MPS multi level

The Master Production Schedule (MPS) is the backbone of a manufacturing company. It is the essential tool to define how to balance market demand, based upon forecast data, customer orders and replenishment objectives, with supply, in terms of manufacturing strategies. Compass10 MPS supports multi-granular bucket definition and    multi-level planning. Using Planning Bills MPS can be run at aggregate level (product groups, models, categories…) and at finished item level.

Integrated Planning of materials and capacity

Compass10 MPS engine supports the synchronized planning of materials and capacity; material requirements and supplier call-offs are planned accordingly to the optimized finite capacity schedule. Such approach minimizes overall inventory levels throughout the whole supply chain.

Multi-plant planning

Compass10 MPS  is designed to support integrated planning in complex supply chains, multi-plant production environments and distribution networks.


  • Inventory level optimization

  • Increase in market service level

  • Synchronized planning of materials and capacity

  • Fast-responsive

  • Streamline planner’s work

  • Visibility on the full forecasting horizon

  • Scalable and user-friendly

  • Simulative approach

  • Interactive graphical interface

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