In this study, asymptotic expansion for ergodic distribution of an inventory control model of type s, S with generalized beta interference of chance is obtained, when S − s → ∞. Moreover, weak convergence theorem is proved for ergodic distribution. Finally, the accuracy of the asymptotic expansion is examined with Monte Carlo simulation method.
Inventory model of type s S renewal-reward process generalized betadistribution asymptotic expansion weak convergence Monte Carlo simulation
Primary Language | English |
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Journal Section | Research Article |
Authors | |
Publication Date | December 1, 2011 |
Published in Issue | Year 2011 Volume: 01 Issue: 2 |