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

Volume

1

fYear

2010

fDate

5-6 June 2010

Firstpage

412

Lastpage

415

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 (R_p) 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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-4026-9

Type

conf

DOI

10.1109/CCIE.2010.109

Filename

5492115