Title :
Forecast of Systemic Parameter Drift Based on Monte Carlo Simulation
Author :
Qing, Wan ; Min, LI ; Ping, Duan ; Jia, Li
Author_Institution :
Coll. of Mech. & Electr., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
This essay mainly concerns on the degree of systemic parameter drift in process of product life cycle, by establishing the function of system structure and using simulation software to imitate the process of drift. It not only gets the degree of systemic parameter drift and the result of approximate distributions of system output, but also gets the sensitivity of each component part contributes to systemic parameter drift. Particularly, the reliability of systemic performance (Rp) is used to measure the degree of systemic parameter drift.
Keywords :
Monte Carlo methods; digital simulation; product life cycle management; quality management; reliability; Monte Carlo simulation; product life cycle; quality management; simulation software; system structure function; systemic parameter drift forecast; systemic performance reliability; Educational institutions; Humidity; Industrial engineering; Materials science and technology; Monte Carlo methods; Particle measurements; Quality management; Reliability; System performance; Temperature distribution; Monte Carlo; parameter drift; quality management; sensitivity; system reliability;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.109
