• Fabian Eilingsfeld

This paper presents some thoughts and a methodical approach to the strategic planning of large government projects that takes into account the dynamic development of global problems. Given that an overarching strategic intent is in place and budgetary resources are limited, the methods described herein allow its user to generate and evaluate a set of project proposals according to their individual problem solving potential. In a final step, one is able to select those proposals that are preferable for further planning. Rather than generating detailed programs that are hard to implement in a dynamic environment, the method described herein is only modeling the priorities of different project alternatives. This is less detailed as the plans that result from a classic strategic planning approach, yet is highly usable as a roadmap for implementation. The most important advantage of this approach is its suitability for a dynamic planning with inherent learning cycles that can easily be adapted to dynamic changes in the planning environment. Since change is a well-known phenomenon in space program planning, a paradigm shift towards more flexible and adaptable ways of planning seems to be required.