Abstract
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.
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