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
Birincil Dil | İngilizce |
---|---|
Bölüm | Research Article |
Yazarlar | |
Yayımlanma Tarihi | 1 Aralık 2011 |
Yayımlandığı Sayı | Yıl 2011 Cilt: 01 Sayı: 2 |