Title :
Optimal partly repairable spare inventory policy by MDP under warranty
Author :
Jiujiu Fan ; Linhan Guo ; Naichao Wang ; Yi Yang
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
Aiming at the problem of spares inventory in warranty logistics, this paper applies Markov modeling to the optimization of spares during the warranty period which considers the case where the repairable item is discarded, analyzes the transfer process of spares in operation, and stock, repair and discard of spares. In the Markov model, the actual situation of installation quantity of components in the system is finite, is taken into consideration and an optimal strategy is introduced. By applying a convex optimization algorithm based on the Markov model, the optimization spares configuration scheme is determined to minimize the cost under a specified availability. Meanwhile this paper builds an application case for this model, and verifies the model and algorithm proposed in this paper by simulation. There are three innovation points of this research. 1) A repairable item that may be discarded is taken into consideration in the warranty period. 2) Build partly repairable spares optimization model by Markov under variational warranty period. 3) A suitable convex optimization algorithm, which can find the optimal point through solving a large number of iterative calculations quickly, is designed.
Keywords :
Markov processes; convex programming; inventory management; iterative methods; logistics; maintenance engineering; warranties; MDP; Markov model; convex optimization algorithm; iterative calculation; repairable item; spare inventory policy; warranty logistics; Analytical models; Availability; Biological system modeling; Maintenance engineering; Markov processes; Optimization; Warranties; Convex optimization; Inventory; Markov decision process; Partly repairable spares; Warranty logistics;
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2015 Annual
Conference_Location :
Palm Harbor, FL
Print_ISBN :
978-1-4799-6702-5
DOI :
10.1109/RAMS.2015.7105123