Accurate selection of the quality of maintenance resources, such as spares, tools,
equipment, personnel, technical data, facilities and so forth, has a strong influence
on mission success, and the cost of ownership. Among maintenance resources, spare
part requirements are the most difficult to predict. Items within any system are
very different from the point of view of reliability, cost, weight, volume, etc.
Hence, the selection of spares for a planned mission must take into account all these
features. Presents the generic mission success-driven spares model developed for
complex systems. The mathematical analysis used in the model enables the user to
make the most suitable selection of the spares package for the planned mission. The
illustrative examples presented clearly demonstrate the applicability and usefulness
of the model introduced.