The scope and purpose of this paper is to give input and propose solutions to the
creation of an efficient and productive geometrical measurement planning
process. The case study outline what is important and how to identify and
determine the preconditions and input data which is required to start the
preparation and planning activities of geometrical measurements. That is why the
following three main research and development questions should be answered:
Firstly; What is the need and why does an efficient and productive geometrical
measurement planning process contribute to decrease cost upstream as well as
downstream in terms of reduced lead times in measurement planning process
work?
Secondly; Why are reduced uncertainties related to geometrical; functionality,
specification and verification, important? And how are they linked to each other
and how can they be theoretically modeled and defined in terms of
uncertainties?
The last question is; How is the current geometrical measurement planning process
constructed and what does it contain and how is it functioning?
By applying a more systematic and holistic approach in product realization and
measurement planning activities, the accomplished study indicates improvements
and high potential for cost savings, from 3 up to 12 times. Hence the
improvement potential is strongly dependent of the actual geometrical complexity
level of the airframe assembly being studied. Results from this study will
further improve and develop current applied geometrical measurement planning
process and will contribute to a more effective and productive working
methodology and process.