DocumentCode :
1829543
Title :
Availability assessment of a multi-state repairable bubble gum production system
Author :
Gupta, P. ; Goyal, A.
Author_Institution :
Dept. of Mech. Eng., Sant Longowal Inst. of Eng. & Technol., Sangrur, India
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
631
Lastpage :
635
Abstract :
This paper demonstrates a mathematical model based on Markov Modeling of a complex multi-state repairable bubble gum production system with an attempt to improve its availability. The preemptive resume priority repair discipline is followed to carry out repairs of sub-units of the system. The failure rates of all the different subcomponents of the system are taken as constant whereas their repair times are taken to follow general distribution. The mathematical model is established using probability considerations and supplementary variable technique. Lagrange´s method for partial differential equations is utilized to obtain the state probabilities. The reliability characteristics are evaluated in accordance with practical situation and operational behavior of the system is analyzed. Availability analysis of the system helped in identifying the critical factors and assessing their impact on the system availability. The effect of using single repair facility to perform repairs on priority is compared with employing multi repair facility to perform repairs immediately.
Keywords :
Markov processes; food processing industry; maintenance engineering; partial differential equations; Markov modeling; availability analysis; availability assessment; complex multistate repairable bubble gum production system; failure rates; general distribution; mathematical model; partial differential equations; preemptive resume priority repair; reliability characteristics; state probabilities; Availability; Industries; Maintenance engineering; Markov processes; Reliability engineering; Steady-state; availability; preemptive resume; priority; reliability; repair;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674521
Filename :
5674521
Link To Document :
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