Collaborative Demand Aligner

Short delivery times and on-time delivery are requirements for almost all manufacturing companies of different sizes and industries and thus for the entire production network. Insufficient capacities in the network extend delivery times and create bottlenecks. At the same time, overcapacities are associated with avoidable costs. This dilemma can only be dissolved by precise coordination of demand and capacity.

The coordination of delivery timing and quantity across the production network is rarely done. If it is done, it is usually based on long-term and imprecise contracts or forecasts, not actual sales. The actual sales usually require adjusted production volumes and capacities that deviate from commitments. The implementation of short-term orders further complicates the situation. Transparency and commitment in the supply chain are only achieved through short-term delivery schedules. Nowadays, a time-consuming process to resolve bottlenecks through short-term capacity adjustments and expensive flexibilities is attempted – often by telephone, e-mail or fax. 

The potential in the digitalization of the planning and coordination process including automated, collaborative and cross-company planning is enormous This complicated process requires that a supply network is equipped with the necessary services and interfaces. Collaborative demand and capacity management integrates the demands or capacities of the production network into the rolling planning of the production planners.

Project-specific results, e.g. demonstrators or prototypes (excerpt)

  • Development of a Silicon Economy service for collaborative demand and capacity matching in production networks between producers and suppliers. 
  • Web application for a secure and trust creating exchange of demand data and delivery commitments.
  • Definition and testing of a use case for demonstration purposes

Contribution to the infrastructure of the Silicon Economy (excerpt)

  • Exchange of information between companies via the International Data Spaces (IDS) to protect data sovereignty with open interface definition.
  • Modular architecture with appropriate abstraction levels for easy implementation by companies
  • Interfaces for (proprietary) IT systems in logistics


Emanuel Skubowius,

Lara Kaufmann,

Weitere Steckbriefe

More profiles