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Optimizing the reliability, maintainability and safety data collection process through lifecycle

Abstract : This paper focuses on an approach to develop a robust, reliable, maintainable and proactive process of data collection through relevant indicators. Mainly, it aims to model and optimize the effectiveness of the RAMS data collection process (DCP), under cost constraints, while taking into account the its operating conditions and human factors. It also deals with the data collection system maintenance, data collection process and database maintenance over time. The authors have proposed an approach to model and optimize the RAMS DCP based on data relevance assessment, indicators of complexity, the usefulness and the quantity of information collected using the DCP and database.
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https://hal.univ-lorraine.fr/hal-03059200
Contributor : Kondo Adjallah Connect in order to contact the contributor
Submitted on : Saturday, December 12, 2020 - 1:10:55 PM
Last modification on : Sunday, March 27, 2022 - 4:44:02 PM

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Kondo Hloindo Adjallah, Zhouhang Wang. Optimizing the reliability, maintainability and safety data collection process through lifecycle. 2017 Annual Reliability and Maintainability Symposium (RAMS), Jan 2017, Orlando, FL, United States. pp.1-6, ⟨10.1109/RAM.2017.7889767⟩. ⟨hal-03059200⟩

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