Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11564
Title: A Novel Stochastic Approach To Buffer Stock Problem
Authors: Hanalıoğlu Z.
Poladova, A.
Gever, B.
Khaniyev, T.
Keywords: asymptotic expansion
buffer stock problem
Random walk with two barriers
stationary distribution
weak convergence
Publisher: Isik University
Abstract: In this paper, the stochastic uctuation 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 uctuation of the product level. Here X(t) = 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) = X(t)/a, as a →∞ Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y (t) are obtained. © (2024) Isik University, Department of Mathematics, All Rights Reserved.
URI: https://hdl.handle.net/20.500.11851/11564
ISSN: 2146-1147
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

68
checked on Dec 16, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.