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Paper Information

Journal:   AMIRKABIR   Summer 2003 , Volume 14 , Number 55-D; Page(s) 889 To 900.
 
Paper: 

A NEW METHOD TO DETERMINE AN OPTIMAL REPAIR POLICY AT MAINTENANCE PLANNING

 
 
Author(s):  RABANI M.*
 
* I.E. Department of Engineering, University of Tehran
 
Abstract: 

Determination of optimal repair policy of a component (or machine) is one of the main subjects at maintenance planning. In this field the main approach is to use a finite state approximation Markov Decision Process (MDP). This technique requires a known long time for its as computation. In this paper an alternative approach is introduced. Assuming a stochastically repair cost, the optimum solution is shown to satisfy a first order differential equation. Also an asymptotic formula for optimal repair policy is derived. Numerical solutions are obtained for some weibull and gamma distributed time to falure distributions. This new method is faster and easier than previous methods.

 
Keyword(s): MAINTENANCE, REPAIR, MARKOVIAN PROCESS
 
 
References: 
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Click to Cite.
APA: Copy

RABANI, M. (2003). A NEW METHOD TO DETERMINE AN OPTIMAL REPAIR POLICY AT MAINTENANCE PLANNING. AMIRKABIR, 14(55-D), 889-900. https://www.sid.ir/en/journal/ViewPaper.aspx?id=5077



Vancouver: Copy

RABANI M.. A NEW METHOD TO DETERMINE AN OPTIMAL REPAIR POLICY AT MAINTENANCE PLANNING. AMIRKABIR. 2003 [cited 2021May13];14(55-D):889-900. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=5077



IEEE: Copy

RABANI, M., 2003. A NEW METHOD TO DETERMINE AN OPTIMAL REPAIR POLICY AT MAINTENANCE PLANNING. AMIRKABIR, [online] 14(55-D), pp.889-900. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=5077.



 
 
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