Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5971
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.
URI: https://doi.org/10.1504/IJMOR.2009.022882
https://hdl.handle.net/20.500.11851/5971
ISSN: 1757-5850
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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