Multi-echelon Support System Analysis Based on Generalized Stochastic Petri Net

Author

Bin, Du ; Wan-hua, Qiu

Author_Institution

Sch. of Inf. Manage., Jiangxi Univ. of Finance & Econ., Nanchang

Volume

5

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

1090

Lastpage

1093

Abstract

Generalized stochastic Petri net model is proposed for support system with a classic structure of three-echelon repair and two-echelon inventory. Based on Petri net workflow models of various maintain processes, extendable queue models with generalized queuing time concept are presented to analyze performance equivalent time. A strategy of spare parts inventory minimizes the number of backorder for unitpsilas operational availability. An approach to analyze stochastic Petri net is applied to reduce state space of models and construct isomorphic Markov chain. Moreover, by solving probability of steady state system performance is analyzed. Finally, a new method to calculate unitpsilas operational availability is obtained.

Keywords

Markov processes; Petri nets; decision making; maintenance engineering; operations research; probability; queueing theory; Petri net workflow models; classic structure; extendable queue models; generalized queuing time concept; generalized stochastic Petri net; isomorphic Markov chain; multiechelon support system analysis; performance equivalent time; probability; spare parts inventory; steady state system performance; three-echelon repair; two-echelon inventory; Availability; Computer science; Inventory management; Performance analysis; Queueing analysis; Resource management; Software engineering; Steady-state; Stochastic processes; Stochastic systems; generalized stochastic Petri net; multi-echelon repair; operational availability; spare parts inventory; support system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.162

Filename

4723096