Application of different statistical techniques in integrated logistics support of the international space station alpha

摘要

The process to predict the values of the maintenance time dependent variable parameters such as MTBF over time must be one that will not in turn introduce uncontrolled deviation in the results of the ILS analysis such as Life Cycle Cost, spares calculation, etc. A minor deviation in the values of the maintenance time dependent variable parameters such as MTBF over time will have a significant impact on the logistics resources demands, International Space Station Availability and maintenance support costs. It is the objective of this report to identify the magnitude of the expected enhancement in the accuracy of the results for the International Space Station Reliability and Maintainability data packages by providing examples. These examples partially portray the necessary information by evaluating the impact of the said enhancements on the Life Cycle Cost and the Availability of the International Space Station.