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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 |
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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