Please use this identifier to cite or link to this item:
Title: Stochastic approximations for optimal buffer capacity of many-station production lines
Authors: Cochran J. K.
Kokangül A.
Khaniyev, Tahir A.
Keywords: Buffer size
Many-station production line
Maximum and minimum of a stochastic process
Random walk
Risk acceptance
Issue Date: 2009
Publisher: Inderscience Publishers
Abstract: Probabilistic processing times, times between breakdowns and repair times make the amount of stock in buffers between stations in production lines behave as a stochastic process. Too much or too little buffer stock reduces system economy and efficiency, respectively. We obtain optimum buffer capacities and initial stock levels for production lines employing a mathematical random walk approach based on the maximum and minimum values of a stochastic process in a time window. Two approximations are developed, each useful under different risk-acceptance assumptions. Simulation results populate the equations. A motivating case study from a discrete part manufacturing line, including an example of using regression on the simulated results, is presented. Copyright © 2009 Inderscience Enterprises Ltd.
ISSN: 1757-5850
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 23, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



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