Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11548
Title: A Novel Stochastic Approach To Buffer Stock Problem
Authors: Hanalioglu, Z.
Poladova, A.
Gever, B.
Khaniyev, T.
Keywords: Random walk with two barriers
buffer stock problem
stationary distribution
weak convergence
asymptotic expansion
Normal Distributed Interference
Weak-Convergence Theorem
Ergodic Distribution
Random-Walk
Asymptotic Expansions
Inventory Model
Moments
Publisher: Turkic World Mathematical Soc
Abstract: In this paper, the stochastic fluctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y (t) with two specific barriers have been defined to describe the stochastic fluctuation of the product level. Here X(t) equivalent to Y (t) - a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) equivalent to X(t)/a, as a -> infinity . Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y (t) are obtained.
URI: https://hdl.handle.net/20.500.11851/11548
ISSN: 2146-1147
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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