Berlin office for factory and logistics planning

Planning support in Berlin and the region

From our Schönefeld office, we support projects in Berlin, Brandenburg and eastern Germany. This includes site and structural questions as well as the planning of specific production, warehouse or logistics areas. In brownfield projects, existing buildings, ongoing operations and implementation constraints are considered early; in greenfield projects, alternatives, space logic and future expandability take priority.

For projects in Berlin, we begin by clarifying the objective, the decision to be made and the available data. Depending on the assignment, this is followed by a site survey, volume framework, space and material-flow analysis, and the development and assessment of alternatives. Assumptions, dependencies and open points are documented transparently so that specialist departments, management and implementation partners work from the same basis.

On-site appointments for Berlin projects are used where actual processes, buildings, equipment or interfaces need to be captured. Further analysis and coordination can be carried out online. Depending on the need, our scope includes factory planning, warehouse planning, assembly planning, logistics concepts and material flow analysis. A short task description, the affected site and your intended timeframe are sufficient for an initial assessment.

An assignment in Berlin may begin as a focused potential analysis or cover several planning phases. The first step makes bottlenecks, travel distances, space and organisational causes visible. Concept work then produces comparable target alternatives. For implementation, work packages, dependencies and priorities are detailed with ongoing operations and temporary arrangements in mind.

For a project in Berlin, existing layouts, volume lists, process descriptions and known bottlenecks are sufficient for an initial review. We jointly identify which information is essential for the next decision, where data gaps remain and which assumptions can be carried forward transparently until better data is available.