A semi-Markovian renewal reward process with $\Gamma(g)$ distributed demand

Authors: ASLI BEKTAŞ KAMIŞLIK, BÜŞRA ALAKOÇ, TÜLAY KESEMEN, TAHİR KHANİYEV

Abstract: We consider a classical semi-Markovian stochastic model of type $(s,S)$ with Logistic distributed demand random variables. Logistic distribution is a member of special distribution class known as $\Gamma(g)$ that encounters in many real-life applications involving extreme value theory. The objective of this study is to observe some major characteristics of a stochastic process $X(t)$ which represents semi-Markovian renewal reward process of type $(s,S)$. We used new approximation results for renewal function that allow us to obtain three-term asymptotic expansion for ergodic distribution function and for $n^{th}$ order moments of ergodic distribution of the process $X(t)$.

Keywords: Logistic distribution, $\Gamma(g)$ class of distributions, heavy tailed distributions, semi-Markovian inventory model, ergodic distribution

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