Finally, the accuracy of the ap- proximation formula is tested by the Monte Carlo simulation method.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, a renewal - reward process with a discrete interference of chance is constructed.
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Temel Bulgular & Veri:This process describes in particular a semi- Markovian inventory model of type (s,S).
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Sonuç & Katkı:Finally, the accuracy of the ap- proximation formula is tested by the Monte Carlo simulation method.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Abstract
In this study, a renewal - reward process with a discrete interference of chance is constructed. This process describes in particular a semi- Markovian inventory model of type (s,S). The ergodic distribution of this process is expressed by a renewal function, and a second-order ap- proximation for the ergodic distribution of the process is obtained as S − s → ∞ when the interference has a triangular distribution. Then, the weak convergence theorem is proved for the ergodic distribution and the limit distribution is derived. Finally, the accuracy of the ap- proximation formula is tested by the Monte Carlo simulation method.
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Bu Makaleye Atıf Yap
ATALAY, K. D., KHANİYEV, T. (2022). On the weak convergence of the ergodic distribution for an inventory model of type (s,S). Hacettepe Journal of Mathematics and Statistics, Cilt: 39 - Sayı: 4, 599–611. https://ajindex.com/articles/530851
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