Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Efficient Performance Based Air Vehicle Maintenance

Reference number
Coordinator SAAB Aktiebolag - SAAB AB
Funding from Vinnova SEK 5 000 000
Project duration July 2013 - June 2017
Status Completed

Purpose and goal

To improve competitiveness of the aerospace industry it has become increasingly important to ensure the availability and reliability of analyses based on the heterogeneous datasets that are generated during the lifecycles of aircraft and their support systems. This is a critical capability when implementing performance-based business solutions, such as Performance-Based Logistics (PBL) and Contracted Logistic Support (CLS).

Expected results and effects

The purpose of the research conducted has been to develop decision support methodologies, models and tools for the management of a sustainable part-out-based spares provisioning for an aircraft fleet during its retirement period. The proposed methodology will be used to facilitate the retirement process and enhance the organisation’s capability of making efficient and cost-effective decisions concerning the re-use of spare parts reclaimed from retired aircraft and concerning the reduction of stock levels during the retirement period.

Planned approach and implementation

An important part of the PBSP programme is the reliability analysis of multiple repairable units, and this has been investigated to identify a practical approach to estimation of the future demand for repairable units at the fleet level. In addition, a set of computational models has been developed to estimate the future demand for repairable units, identify repair termination alternatives and estimate the stock level for applicable repair termination alternatives.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 January 2019

Reference number 2013-01196

Page statistics