application of different statistical techniques in integrated logistics support of the international space station alphaThe process to predict the values of the maintenance time dependent variable parameters such as mean time between failures (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 hy evaluating the impact of the said enhancements on the life cycle cost and the availability of the International Space Station.
Sepehry-Fard, F. (FSF Research Technologies, Inc. Dorval, Quebec Canada)
Coulthard, Maurice H. (Canadian Space Agency Montreal, Quebec Canada)
August 17, 2013
January 1, 1995
Publication: A Collection of Technical Papers from the 6th Space Logistics Symposium