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http://dx.doi.org/10.20910/JASE.2018.12.5.76

Study on Risk-based Satellite Product Assurance and Tailoring  

Song, Sua (Dept. of Aerospace and Mechanical Engineering, Graduate School, Korea Aerospace University)
Chang, Young-Keun (School of Aerospace and Mechanical Engineering, Korea Aerospace University)
Publication Information
Journal of Aerospace System Engineering / v.12, no.5, 2018 , pp. 76-88 More about this Journal
Abstract
Space agencies such as NASA, ESA, and the US military provide guidelines and standards for PA(product assurance) requirements and plans. In recent years, major satellite manufacturers around the world have been mitigating PA requirements and processes by tailoring. PA tailoring has been implemented to improve the cost and schedule efficiency. PA tailoring can be accomplished based on various factors such as mission, classification of mission risk, complexity, development cost, life cycle, etc. In this study, PA tasks according to the mission risk classification proposed by NASA are investigated, and the tailoring method is suggested for the optimization of the development cost and schedule. In particular, the classification of mission risk for the satellites under development or operation in Korea is performed, and PA characteristics in accordance with mission risk are analyzed.
Keywords
Product Assurance; Tailoring; Mission Risk; Parts, Materials & Processes; Reliability; Quality Assurance;
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  • Reference
1 NASA Langley Research Center, "Product Assurance Plan," LPR 5300.1, NASA, 2009.
2 ESA-ESTEC, "Space Product Assurance: Product Assurance Management," ECSS-Q-ST-10C, 2008
3 The Aerospace Corporation, "Mission Assurance Guide," Technical Operating Report TOR-2007(8546)-6018, REV. B, 2012.
4 Gail Johnson-Roth, "Mission Assurance Guidelines for A-D Mission Risk Classes," TOR-2011(8591)-21, The Aerospace Corp., 2011.
5 Satellite Research Center, "Product Assurance Requirements for NEXTSat Program," KAIST, 2013.
6 Quanterion Solutions Incorporated, "Handbook of 217Plus: Reliability Prediction Models," HDBK-217Plus: 2015 Notice 1, 2017.