Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1588
Title: On The Boundary Functional Of The Random Walk With Two Barriers Related To Optimal Capacity Of The Buffer Stock
Authors: Hanalioğlu, Zülfiye
Gever, B.
Poladova, A.
Khaniyev, Tahir
17222
Keywords: Random walk with two barriers
Boundary functional
Bilateral exponential distribution
Basic identity for random walk
Issue Date: 2018
Publisher: Baku State Univ, Inst Applied Mathematics
Source: Hanalioglu, Z., Gever, B., Poladova, A. and Khaniyev, T. (2018). On The Boundary Functional Of The Random Walk With Two Barriers Related To Optimal Capacity Of The Buffer Stock. In Proceedings Of The 6th International Conference On Control And Optimization With Industrial Applications, Vol I. (pp. 182-184). Baku: Baku State Univ, Inst Applied Mathematics.
Abstract: In this study, a boundary functional (N) of the semi-Markovian random walk (X (t)) with two special barriers is considered. The boundary functional N is defined as the first time when the random walk exits from the interval (a). In this study, the boundary functional N has been investigated under the assumption that the jumps of the random walk are expressed by bilateral exponential distributed random variables. There are significant implementations of the boundary functional N in the stock control theory. Especially, it is important to investigate numerical characteristics of the boundary functional N for the finding optimal capacity of buffer stock located between two machines which are working at the same speed. For this reason, the exact expressions for the first three moments of the boundary functional N are obtained by using basic identity for random walk (Feller (1971)). Next, the exact and approximation expressions for the expected value, variance, standard deviation, variation and skewness coefficients of the boundary functional N are derived.
[Hanalioglu, Z.] Karabuk Univ, Dept Actuary & Risk Management, Karabuk, Turkey; [Gever, B.] STM Def Technol & Trade Inc, Artificial Engn & Data Fus, Ankara, Turkey; [Poladova, A.; Khaniyev, T.] TOBB Univ Econ & Technol, Dept Ind Engn, Ankara, Turkey
URI: https://hdl.handle.net/20.500.11851/1588
ISBN: 978-9952-37-093-5
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

24
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


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